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169:. Introduced in 2019, T5 models are trained on a massive dataset of text and code using a text-to-text framework. The T5 models are capable of performing the text-based tasks that they were pretrained for. They can also be finetuned to perform other tasks. They have been employed in various applications, including chatbots, machine translation systems, text summarization tools, code generation, and robotics.
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T5 encoder-decoder structure, showing the attention structure. In the encoder self-attention (lower square), all input tokens attend to each other; In the encoderâdecoder cross-attention (upper rectangle), each target token attends to all input tokens; In the decoder self-attention (upper triangle),
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The T5 encoder can be used as a text encoder, much like BERT. It encodes a text into a sequence of real-number vectors, which can be used for downstream applications. For example, Google Imagen uses T5-XXL as text encoder, and the encoded text vectors are used as conditioning on a
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Several subsequent models used the T5 architecture, with non-standardized naming conventions used to differentiate them. This section attempts to collect the main ones. An exhaustive list of the variants released by Google Brain is on the GitHub repo for T5X.
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Roberts, Adam; Chung, Hyung Won; Mishra, Gaurav; Levskaya, Anselm; Bradbury, James; Andor, Daniel; Narang, Sharan; Lester, Brian; Gaffney, Colin; Mohiuddin, Afroz; Hawthorne, Curtis; Lewkowycz, Aitor; Salcianu, Alex; Zee, Marc van; Austin, Jacob (2023).
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192:. This pre-training process enables the models to learn general language understanding and generation abilities. T5 models can then be fine-tuned on specific downstream tasks, adapting their knowledge to perform well in various applications.
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Chung, Hyung Won; Hou, Le; Longpre, Shayne; Zoph, Barret; Tay, Yi; Fedus, William; Li, Yunxuan; Wang, Xuezhi; Dehghani, Mostafa; Brahma, Siddhartha; Webson, Albert; Gu, Shixiang Shane; Dai, Zhuyun; Suzgun, Mirac; Chen, Xinyun (2024).
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Compared to the original
Transformer, it uses a few minor modifications: layer normalization with no additive bias; placing the layer normalization outside the residual path; relative positional embedding.
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Jiang, Yunfan; Gupta, Agrim; Zhang, Zichen; Wang, Guanzhi; Dou, Yongqiang; Chen, Yanjun; Fei-Fei, Li; Anandkumar, Anima; Zhu, Yuke (2022-10-06). "VIMA: General Robot
Manipulation with Multimodal Prompts".
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small, base, large, XL, XXL: Improved versions of the original T5 series. These have roughly equal parameters. The 3B and the 11B were changed to "XL" and "XXL", and their shapes are changed:
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The T5 model itself is an encoder-decoder model, allowing it to be used for instruction following. The encoder encodes the instruction, and the decoder autoregressively generates the reply.
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These models are often distinguished by their parameter count, which indicates the complexity and potential capacity of the model. The original paper reported the following 5 models:
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Some models are trained from scratch while others are trained by starting with a previous trained model. By default, each model is trained from scratch, except otherwise noted.
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Sanh, Victor; Webson, Albert; Raffel, Colin; Bach, Stephen H.; Sutawika, Lintang; Alyafeai, Zaid; Chaffin, Antoine; Stiegler, Arnaud; Scao, Teven Le (2022-03-17),
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Longpre, Shayne; Hou, Le; Vu, Tu; Webson, Albert; Chung, Hyung Won; Tay, Yi; Zhou, Denny; Le, Quoc V.; Zoph, Barret; Wei, Jason; Roberts, Adam (2023-07-03).
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Tay, Yi; Dehghani, Mostafa; Tran, Vinh Q.; Garcia, Xavier; Wei, Jason; Wang, Xuezhi; Chung, Hyung Won; Shakeri, Siamak; Bahri, Dara (2023-02-28),
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Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J. (2020).
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Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Ćukasz; Polosukhin, Illia (2017).
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Xue, Linting; Barua, Aditya; Constant, Noah; Al-Rfou, Rami; Narang, Sharan; Kale, Mihir; Roberts, Adam; Raffel, Colin (2022-03-25).
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variant of T5, by replacing the feedforward layers in the encoder and decoder blocks with mixture of expert feedforward layers.
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642:: Number of layers in the encoder; also, number of layers in the decoder. They always have the same number of layers.
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1239:(2021): a byte-level version of T5, trained on mC4 (multilingual C4) dataset. It operates on text encoded as
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United States v. Adobe
Systems, Inc., Apple Inc., Google Inc., Intel Corporation, Intuit, Inc., and Pixar
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Switch
Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
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series, but scaled up to 20B, and trained with "mixture of denoisers" objective on the C4.
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176:, where the encoder processes the input text, and the decoder generates the output text.
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1475:. Cambridge New York Port Melbourne New Delhi Singapore: Cambridge University Press.
1208:(2021): a series of models (from small to XXL) that started from checkpoints of the
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1365:"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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Judgement of the German
Federal Court of Justice on Google's autocomplete function
1858:"The Flan Collection: Designing Data and Methods for Effective Instruction Tuning"
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The T5 series encompasses several models with varying sizes and capabilities, all
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787:: Dimension of the key and value vectors used in the self-attention mechanism.
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753:: Dimension of the feedforward network within each encoder and decoder layer.
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Note that unlike typical
Transformers, the 3B and 11B models do not satisfy
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each target token attends to present and past target tokens only (causal).
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1777:"ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models"
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denote blanks to be filled, called "sentinels" in the original report.
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Proceedings of the 40th
International Conference on Machine Learning
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3B, 11B (2021): a series of models that started from checkpoints of
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https://github.com/google-research/text-to-text-transfer-transformer
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Zhang, Aston; Lipton, Zachary; Li, Mu; Smola, Alexander J. (2024).
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2017:
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Sutawika, Lintang; Komatsuzaki, Aran; Raffel, Colin (2024-04-15).
1961:
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1233:). Different entries in the series uses different finetuning data.
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The T5 models were pretrained on many tasks, all in the format of
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Umar Javeed, Sukarma Thapar, Aaqib Javeed vs. Google LLC and Ors.
1721:
Multitask
Prompted Training Enables Zero-Shot Task Generalization
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7953:
7948:
6435:
5767:
4921:
4786:
4781:
4656:
3973:
3968:
3877:
2405:
8822:
8061:
7594:
7248:
6741:
4816:
3764:
2603:
2525:
2067:
8604:
4776:
4762:
4757:
4752:
4738:
1212:
series, but trained further on 100B additional tokens from C4.
1781:
Transactions of the
Association for Computational Linguistics
1521:
Shaw, Peter; Uszkoreit, Jakob; Vaswani, Ashish (2018-04-12),
7323:
Google, Inc. v. American Blind & Wallpaper
Factory, Inc.
2063:
1630:
Lester, Brian; Al-Rfou, Rami; Constant, Noah (2021-09-02),
1662:
Fedus, William; Zoph, Barret; Shazeer, Noam (2022-06-16),
2521:
1633:
The Power of Scale for Parameter-Efficient Prompt Tuning
1338:. As another example, the AuraFlow diffusion model uses
888:
small, base, large, 3B, 11B (2019): The original models.
1285:
20B (2022): a model with the same architecture as the
16:
Series of large language models developed by Google AI
1524:
Self-Attention with Relative Position Representations
1275:
a model. The original T5 codebase was implemented in
1054:
1023:
992:
952:
912:
797:
762:
729:
688:
650:
609:
448:
417:
386:
346:
306:
252:
judging the grammatical acceptability of a sentence (
680:: Number of attention heads in each attention block.
220:
Thank you <X> me to your party <Y> week.
9606:
9550:
9479:
9412:
9284:
9184:
9177:
9131:
9095:
9038:
8914:
8854:
8785:
8740:
8695:
8667:
8627:
8572:
8494:
8482:
8413:
8370:
8342:
8290:
8153:
8095:
7914:
7836:
7760:
7712:
7605:
7525:
7452:
7387:
7338:
7282:
7107:
7027:
6940:
6752:
6653:
6601:
6278:
6223:
6153:
6093:
5954:
5781:
5693:
5376:
5089:
4989:
4937:
4829:
4721:
4598:
4545:
4335:
4226:
4105:
3868:
3777:
3682:
3586:
3335:
3285:
3170:
3101:
3009:
2907:
2804:
2795:
2614:
2448:
2427:
2380:
2351:
2344:
2314:
2285:
2278:
2239:
2208:
2179:
2138:
2131:
2124:
210:
How a T5 can be finetuned for a summarization task.
172:Like the original Transformer model, T5 models are
132:
120:
97:
85:
58:
36:
24:
1557:"t5x/docs/models.md at main · google-research/t5x"
1249:(2022): a model that started with a checkpoint of
1076:
1039:
1008:
977:
937:
857:
778:
745:
713:
672:
634:
470:
433:
402:
371:
331:
1469:"11.9. Large-Scale Pretraining with Transformers"
1447:Advances in Neural Information Processing Systems
1399:google-research/text-to-text-transfer-transformer
1928:"Scaling Up Models and Data with t5x and seqio"
1827:"Scaling Instruction-Finetuned Language Models"
224:<X> for inviting <Y> last <Z>
7507:Google Spain v AEPD and Mario Costeja GonzĂĄlez
184:The original T5 models are pre-trained on the
8834:
8073:
7260:
2537:
2079:
8:
19:
7792:Googled: The End of the World as We Know It
1321:. It came in sizes of base, large, XL, XXL.
9181:
8841:
8827:
8819:
8491:
8287:
8080:
8066:
8058:
7602:
7591:
7405:Viacom International Inc. v. YouTube, Inc.
7267:
7253:
7245:
6749:
6738:
6282:
5960:
4833:
4826:
4813:
4602:
4109:
3774:
3761:
3592:
3174:
2801:
2611:
2600:
2544:
2530:
2522:
2348:
2282:
2135:
2128:
2086:
2072:
2064:
1606:"config.json · google/t5-v1_1-xxl at main"
243:translate English to German: That is good.
18:
7905:Where on Google Earth is Carmen Sandiego?
1971:
1963:UL2: Unifying Language Learning Paradigms
1792:
1729:
1673:
1641:
1581:"config.json · google/t5-v1_1-xl at main"
1532:
1425:
1267:-based re-implementation of the original
1059:
1053:
1028:
1022:
997:
991:
957:
951:
917:
911:
840:
827:
802:
796:
767:
761:
734:
728:
693:
687:
655:
649:
614:
608:
453:
447:
422:
416:
391:
385:
351:
345:
311:
305:
2018:"Imagen: Text-to-Image Diffusion Models"
1497:"config.json · google-t5/t5-11b at main"
897:
858:{\displaystyle d_{model}=d_{kv}n_{head}}
291:
112:Transformer (deep learning architecture)
3566:Next Lab and Audience Development Group
1350:
159:T5 (Text-to-Text Transfer Transformer)
20:Text-to-Text Transfer Transformer (T5)
1955:
1953:
1873:
1871:
1309:(2024): has the same architecture of
721:: Dimension of the embedding vectors.
7:
9679:Generative adversarial network (GAN)
8539:Simple Knowledge Organization System
8042:
8022:
7396:Perfect 10, Inc. v. Amazon.com, Inc.
2506:
1932:Journal of Machine Learning Research
1831:Journal of Machine Learning Research
1551:
1549:
1462:
1460:
1392:
1390:
1369:Journal of Machine Learning Research
1358:
1356:
1354:
148:/exploring-transfer-learning-with-t5
7461:Rocky Mountain Bank v. Google, Inc.
7421:Authors Guild, Inc. v. Google, Inc.
3499:Quantum Artificial Intelligence Lab
2322:Quantum Artificial Intelligence Lab
7437:Google LLC v. Oracle America, Inc.
7315:Rosetta Stone Ltd. v. Google, Inc.
6538:Speech Recognition & Synthesis
2468:Generative pre-trained transformer
1901:"google/flan-t5-xl · Hugging Face"
14:
9763:Software using the Apache license
8554:Thesaurus (information retrieval)
8006:discontinued products or services
7689:Search engine manipulation effect
4349:Android Cloud to Device Messaging
9717:
9716:
9696:
8041:
8031:
8021:
8012:
8011:
7981:Stanford Digital Library Project
7864:"Google Me" (Teyana Taylor song)
7573:
7572:
3537:Submarine communications cables
3298:CNN/YouTube presidential debates
2591:List of mergers and acquisitions
2505:
2496:
2495:
230:means "end of output", and the
8032:
7635:2004 U.S. presidential election
7398:and A9.com Inc. and Google Inc.
3659:San Francisco tech bus protests
3637:"Ideological Echo Chamber" memo
3378:Computing University Initiative
188:(C4), containing text and code
9629:Recurrent neural network (RNN)
9619:Differentiable neural computer
8135:Natural language understanding
7884:Matt Nathanson: Live at Google
7859:"Google Me" (Kim Zolciak song)
7299:Rescuecom Corp. v. Google Inc.
3692:Back advertisement controversy
1751:"bigscience/T0 · Hugging Face"
1:
9674:Variational autoencoder (VAE)
9634:Long short-term memory (LSTM)
8901:Computational learning theory
8659:Optical character recognition
7413:Lenz v. Universal Music Corp.
3942:Federated Learning of Cohorts
3740:Slovenian government incident
1883:, Google Research, 2024-08-03
1402:, Google Research, 2024-08-21
1317:tokenizer. It was trained on
1215:Switch Transformer (2021): a
186:Colossal Clean Crawled Corpus
9654:Convolutional neural network
8352:Multi-document summarization
7699:Site reliability engineering
7477:United States v. Google Inc.
4563:applications in biochemistry
3717:Fantastic Adventures scandal
3145:Doodle Champion Island Games
284:encoder-decoder Transformers
174:encoder-decoder Transformers
9649:Multilayer perceptron (MLP)
8682:Latent Dirichlet allocation
8654:Natural language generation
8519:Machine-readable dictionary
8514:Linguistic Linked Open Data
8089:Natural language processing
7971:Relationship with Knowledge
7870:Is Google Making Us Stupid?
7377:United States v. Google LLC
7369:United States v. Google LLC
4177:Internet Speech Audio Codec
3571:Original Channel Initiative
1443:"Attention is All you Need"
258:The course is jumping well.
9779:
9725:Artificial neural networks
9639:Gated recurrent unit (GRU)
8865:Differentiable programming
8434:Explicit semantic analysis
8183:Deep linguistic processing
7744:Google and the World Brain
4480:Programmable Search Engine
4172:Internet Low Bitrate Codec
4019:Neural Machine Translation
3532:Student Ambassador Program
3482:Objectives and key results
1243:bytes, without tokenizers.
218:restoring corrupted text:
9692:
9058:Artificial neural network
8881:Automatic differentiation
8277:Word-sense disambiguation
8130:Computational linguistics
7997:
7923:Attention Is All You Need
7730:Google: Behind the Screen
7601:
7590:
7568:
7244:
6748:
6737:
6285:
5963:
4836:
4825:
4812:
4605:
4112:
3773:
3760:
3595:
3177:
2610:
2599:
2559:
2491:
2457:Attention Is All You Need
2101:
1453:. Curran Associates, Inc.
978:{\displaystyle d_{model}}
938:{\displaystyle n_{layer}}
714:{\displaystyle d_{model}}
635:{\displaystyle n_{layer}}
372:{\displaystyle d_{model}}
332:{\displaystyle n_{layer}}
190:scraped from the internet
81:
54:
8886:Neuromorphic engineering
8849:Differentiable computing
8803:Natural Language Toolkit
8727:Pronunciation assessment
8629:Automatic identification
8459:Latent semantic analysis
8415:Distributional semantics
8300:Compound-term processing
8198:Named-entity recognition
4532:Wave Federation Protocol
3435:Get Your Business Online
1077:{\displaystyle n_{head}}
673:{\displaystyle n_{head}}
471:{\displaystyle n_{head}}
9659:Residual neural network
9075:Artificial Intelligence
8707:Automated essay scoring
8677:Document classification
8344:Automatic summarization
7944:.app (top-level domain)
7891:The Billion Dollar Code
7469:Hibnick v. Google, Inc.
7307:Goddard v. Google, Inc.
7291:Feldman v. Google, Inc.
4642:Keyhole Markup Language
3404:Digital News Initiative
1473:Dive into deep learning
8564:Universal Dependencies
8257:Terminology extraction
8240:Semantic decomposition
8235:Semantic role labeling
8225:Part-of-speech tagging
8193:Information extraction
8178:Coreference resolution
8168:Collocation extraction
7934:Predictions of the end
7678:Illegal flower tribute
7558:Gonzalez v. Google LLC
7534:Garcia v. Google, Inc.
7444:Smartphone patent wars
7223:Tensor Processing Unit
7131:Digital media players
4661:Programming languages
4372:App Runtime for Chrome
3669:Smartphone patent wars
3610:Alphabet Workers Union
2332:Tensor Processing Unit
2022:imagen.research.google
1078:
1041:
1040:{\displaystyle d_{kv}}
1010:
1009:{\displaystyle d_{ff}}
979:
939:
859:
780:
779:{\displaystyle d_{kv}}
747:
746:{\displaystyle d_{ff}}
715:
674:
636:
472:
435:
434:{\displaystyle d_{kv}}
404:
403:{\displaystyle d_{ff}}
373:
333:
279:
211:
9758:Large language models
9614:Neural Turing machine
9202:Human image synthesis
8325:Sentence segmentation
7737:Google Maps Road Trip
7542:Google LLC v Defteros
7491:Joffe v. Google, Inc.
7429:Field v. Google, Inc.
7388:Intellectual property
5596:Questions and Answers
5129:Currents (social app)
3932:Exposure Notification
3722:Headquarters shooting
3389:Data Transfer Project
3384:Data Liberation Front
1313:, except it used the
1301:instruction-finetuned
1079:
1042:
1011:
980:
940:
860:
781:
748:
716:
675:
637:
473:
436:
405:
374:
334:
276:
209:
163:large language models
42:; 4 years ago
9705:Computer programming
9684:Graph neural network
9259:Text-to-video models
9237:Text-to-image models
9085:Large language model
9070:Scientific computing
8876:Statistical manifold
8871:Information geometry
8777:Voice user interface
8488:datasets and corpora
8429:Document-term matrix
8282:Word-sense induction
7550:Epic Games v. Google
7499:Mosley v SARL Google
5940:Wildfire Interactive
5899:Pay (payment method)
5590:Public Data Explorer
5041:original programming
4957:most downloaded apps
4848:Green Throttle Games
4517:Tesseract (software)
4355:Android Debug Bridge
4058:Skia Graphics Engine
3734:Innocence of Muslims
3440:Google for Education
2661:software development
2574:List of Android apps
1880:google-research/FLAN
1864:. PMLR: 22631â22648.
1803:10.1162/tacl_a_00461
1695:"SwitchTransformers"
1303:on the FLAN dataset.
1257:on the FLAN dataset.
1052:
1021:
990:
950:
910:
795:
760:
727:
686:
648:
607:
600:In the above table,
446:
415:
384:
344:
304:
107:Large language model
9051:In-context learning
8891:Pattern recognition
8757:Interactive fiction
8687:Pachinko allocation
8644:Speech segmentation
8600:Google Ngram Viewer
8372:Machine translation
8362:Text simplification
8357:Sentence extraction
8245:Semantic similarity
6941:Laptops and tablets
5670:Insights for Search
5584:Personalized Search
4842:Currents (news app)
4166:Global IP Solutions
3727:Kohistan video case
3674:Worker organization
3445:Google for Startups
3185:Developer Challenge
3083:St. John's Terminal
3041:Central Saint Giles
3036:Binoculars Building
2987:Shirley M. Tilghman
2579:List of Easter eggs
2463:Future of Go Summit
214:Some examples are:
201:<output text>
21:
9644:Echo state network
9532:JĂŒrgen Schmidhuber
9227:Facial recognition
9222:Speech recognition
9132:Software libraries
8767:Question answering
8639:Speech recognition
8504:Corpus linguistics
8484:Language resources
8267:Textual entailment
8250:Sentiment analysis
7877:Proceratium google
7228:Titan Security Key
7213:Sycamore processor
6319:Arts & Culture
5863:Marketing Platform
5360:Voice Local Search
5346:Translator Toolkit
4652:Open Location Code
4620:Chrome Experiments
4474:Plugin for Eclipse
4343:American Fuzzy Lop
3514:Silicon Initiative
3323:Symphony Orchestra
2209:In popular culture
1217:mixture-of-experts
1074:
1037:
1006:
975:
935:
855:
776:
743:
711:
670:
632:
468:
431:
400:
369:
329:
280:
212:
197:<input text>
26:Original author(s)
9740:
9739:
9502:Stephen Grossberg
9475:
9474:
8816:
8815:
8772:Virtual assistant
8697:Computer-assisted
8623:
8622:
8380:Computer-assisted
8338:
8337:
8330:Word segmentation
8292:Text segmentation
8230:Semantic analysis
8218:Syntactic parsing
8203:Ontology learning
8055:
8054:
7993:
7992:
7989:
7988:
7806:I'm Feeling Lucky
7785:Google Volume One
7606:Terms and phrases
7586:
7585:
7240:
7239:
7236:
7235:
7200:Pixel Visual Core
6761:Android Dev Phone
6733:
6732:
6729:
6728:
6725:
6724:
6379:Digital Wellbeing
6219:
6218:
5850:Affiliate Network
5773:Where Is My Train
5413:BeatThatQuote.com
5276:Neotonic Software
5085:
5084:
4865:PaperofRecord.com
4808:
4807:
4804:
4803:
4800:
4799:
4546:Search algorithms
4331:
4330:
4185:Gridcentric, Inc.
3778:Operating systems
3756:
3755:
3752:
3751:
3748:
3747:
3331:
3330:
3152:Magic Cat Academy
3017:111 Eighth Avenue
3005:
3004:
2915:Andy Bechtolsheim
2519:
2518:
2444:
2443:
2340:
2339:
2274:
2273:
2235:
2234:
2125:Computer programs
1482:978-1-009-38943-3
1255:instruction-tuned
1202:
1201:
596:
595:
156:
155:
9770:
9730:Machine learning
9720:
9719:
9700:
9455:Action selection
9445:Self-driving car
9252:Stable Diffusion
9217:Speech synthesis
9182:
9046:Machine learning
8922:Gradient descent
8843:
8836:
8829:
8820:
8793:Formal semantics
8742:Natural language
8649:Speech synthesis
8631:and data capture
8534:Semantic network
8509:Lexical resource
8492:
8310:Lexical analysis
8288:
8213:Semantic parsing
8082:
8075:
8068:
8059:
8045:
8044:
8035:
8034:
8025:
8024:
8015:
8014:
7799:How Google Works
7778:The Google Story
7603:
7592:
7576:
7575:
7269:
7262:
7255:
7246:
7207:Search Appliance
7072:Virtual reality
7040:List of products
6992:Chromebook Pixel
6911:Pixel 9 Pro Fold
6750:
6739:
6283:
6060:Quick Search Box
5961:
5957:and productivity
5888:Pay (mobile app)
5031:Official channel
4834:
4827:
4814:
4747:On2 Technologies
4603:
4434:MIT App Inventor
4110:
4041:Protocol Buffers
3775:
3762:
3707:Copyright strike
3702:Copyright issues
3664:Services outages
3647:Privacy concerns
3600:2018 data breach
3593:
3409:Digital Unlocked
3394:Developer Expert
3175:
3078:Sidewalk Toronto
2992:Rachel Whetstone
2967:Patrick Pichette
2842:John L. Hennessy
2802:
2612:
2601:
2584:April Fools' Day
2546:
2539:
2532:
2523:
2509:
2508:
2499:
2498:
2483:Google Workspace
2349:
2283:
2279:Machine learning
2136:
2129:
2088:
2081:
2074:
2065:
2056:
2055:
2053:
2052:
2038:
2032:
2031:
2029:
2028:
2014:
2008:
2007:
2005:
2004:
1989:
1983:
1982:
1981:
1980:
1975:
1957:
1948:
1947:
1922:
1916:
1915:
1913:
1912:
1897:
1891:
1890:
1889:
1888:
1875:
1866:
1865:
1853:
1847:
1846:
1821:
1815:
1814:
1796:
1772:
1766:
1765:
1763:
1762:
1747:
1741:
1740:
1739:
1738:
1733:
1715:
1709:
1708:
1706:
1705:
1691:
1685:
1684:
1683:
1682:
1677:
1659:
1653:
1652:
1651:
1650:
1645:
1627:
1621:
1620:
1618:
1617:
1602:
1596:
1595:
1593:
1592:
1577:
1571:
1570:
1568:
1567:
1553:
1544:
1543:
1542:
1541:
1536:
1518:
1512:
1511:
1509:
1508:
1493:
1487:
1486:
1464:
1455:
1454:
1438:
1432:
1431:
1429:
1416:
1410:
1409:
1408:
1407:
1394:
1385:
1384:
1360:
1271:codebase. It is
1083:
1081:
1080:
1075:
1073:
1072:
1046:
1044:
1043:
1038:
1036:
1035:
1015:
1013:
1012:
1007:
1005:
1004:
984:
982:
981:
976:
974:
973:
944:
942:
941:
936:
934:
933:
898:
864:
862:
861:
856:
854:
853:
835:
834:
819:
818:
785:
783:
782:
777:
775:
774:
752:
750:
749:
744:
742:
741:
720:
718:
717:
712:
710:
709:
679:
677:
676:
671:
669:
668:
641:
639:
638:
633:
631:
630:
477:
475:
474:
469:
467:
466:
440:
438:
437:
432:
430:
429:
409:
407:
406:
401:
399:
398:
378:
376:
375:
370:
368:
367:
338:
336:
335:
330:
328:
327:
292:
263:
259:
248:
244:
237:
233:
229:
225:
221:
202:
198:
152:
149:
147:
145:
143:
141:
139:
76:
73:
72:/google-research
71:
69:
50:
48:
43:
22:
9778:
9777:
9773:
9772:
9771:
9769:
9768:
9767:
9753:Google software
9743:
9742:
9741:
9736:
9688:
9602:
9568:Google DeepMind
9546:
9512:Geoffrey Hinton
9471:
9408:
9334:Project Debater
9280:
9178:Implementations
9173:
9127:
9091:
9034:
8976:Backpropagation
8910:
8896:Tensor calculus
8850:
8847:
8817:
8812:
8781:
8761:Syntax guessing
8743:
8736:
8722:Predictive text
8717:Grammar checker
8698:
8691:
8663:
8630:
8619:
8585:Bank of English
8568:
8496:
8487:
8478:
8409:
8366:
8334:
8286:
8188:Distant reading
8163:Argument mining
8149:
8145:Text processing
8091:
8086:
8056:
8051:
7985:
7910:
7837:Popular culture
7832:
7820:The Google Book
7756:
7751:The Creepy Line
7708:
7597:
7582:
7564:
7521:
7448:
7383:
7334:
7278:
7273:
7232:
7103:
7023:
6936:
6744:
6721:
6655:
6649:
6597:
6533:Sound Amplifier
6480:Opinion Rewards
6449:Live Transcribe
6274:
6215:
6149:
6089:
5956:
5950:
5783:
5777:
5689:
5526:Knowledge Graph
5372:
5081:
4985:
4933:
4909:Typhoon Studios
4821:
4796:
4717:
4708:Webdriver Torso
4594:
4541:
4327:
4222:
4153:Cloud Messaging
4101:
4091:Web Accelerator
4014:Mobile Services
3870:
3864:
3769:
3744:
3678:
3582:
3494:Privacy Sandbox
3422:Founders' Award
3372:Business Groups
3337:
3327:
3281:
3277:Talks at Google
3219:Developers Live
3166:
3162:Material Design
3097:
3093:YouTube Theater
3001:
2951:Omid Kordestani
2903:
2832:Sanjay Ghemawat
2791:
2707:Crisis Response
2666:version history
2651:booting process
2606:
2595:
2555:
2550:
2520:
2515:
2487:
2440:
2423:
2381:Language models
2376:
2336:
2310:
2286:Neural networks
2270:
2231:
2204:
2175:
2120:
2116:Google DeepMind
2097:
2092:
2061:
2059:
2050:
2048:
2040:
2039:
2035:
2026:
2024:
2016:
2015:
2011:
2002:
2000:
1998:EleutherAI Blog
1991:
1990:
1986:
1978:
1976:
1959:
1958:
1951:
1924:
1923:
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1910:
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1418:
1417:
1413:
1405:
1403:
1396:
1395:
1388:
1362:
1361:
1352:
1348:
1336:diffusion model
1328:
1055:
1050:
1049:
1024:
1019:
1018:
993:
988:
987:
953:
948:
947:
913:
908:
907:
875:
836:
823:
798:
793:
792:
763:
758:
757:
730:
725:
724:
689:
684:
683:
651:
646:
645:
610:
605:
604:
449:
444:
443:
418:
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412:
387:
382:
381:
347:
342:
341:
307:
302:
301:
271:
261:
257:
246:
242:
235:
231:
227:
223:
219:
200:
196:
182:
161:is a series of
136:
116:
77:
66:
47:23 October 2019
46:
44:
41:
40:23 October 2019
37:Initial release
17:
12:
11:
5:
9776:
9774:
9766:
9765:
9760:
9755:
9745:
9744:
9738:
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9707:
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9600:
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9585:
9580:
9575:
9570:
9565:
9560:
9554:
9552:
9548:
9547:
9545:
9544:
9542:Ilya Sutskever
9539:
9534:
9529:
9524:
9519:
9514:
9509:
9507:Demis Hassabis
9504:
9499:
9497:Ian Goodfellow
9494:
9489:
9483:
9481:
9477:
9476:
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9472:
9470:
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9314:
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9135:
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9120:
9115:
9110:
9105:
9099:
9097:
9093:
9092:
9090:
9089:
9088:
9087:
9080:Language model
9077:
9072:
9067:
9066:
9065:
9055:
9054:
9053:
9042:
9040:
9036:
9035:
9033:
9032:
9030:Autoregression
9027:
9022:
9021:
9020:
9010:
9008:Regularization
9005:
9004:
9003:
8998:
8993:
8983:
8978:
8973:
8971:Loss functions
8968:
8963:
8958:
8953:
8948:
8947:
8946:
8936:
8931:
8930:
8929:
8918:
8916:
8912:
8911:
8909:
8908:
8906:Inductive bias
8903:
8898:
8893:
8888:
8883:
8878:
8873:
8868:
8860:
8858:
8852:
8851:
8848:
8846:
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8838:
8831:
8823:
8814:
8813:
8811:
8810:
8805:
8800:
8795:
8789:
8787:
8783:
8782:
8780:
8779:
8774:
8769:
8764:
8754:
8748:
8746:
8744:user interface
8738:
8737:
8735:
8734:
8729:
8724:
8719:
8714:
8709:
8703:
8701:
8693:
8692:
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8635:
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8625:
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8612:
8607:
8602:
8597:
8592:
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8566:
8561:
8556:
8551:
8546:
8541:
8536:
8531:
8526:
8521:
8516:
8511:
8506:
8500:
8498:
8489:
8480:
8479:
8477:
8476:
8471:
8469:Word embedding
8466:
8461:
8456:
8449:Language model
8446:
8441:
8436:
8431:
8426:
8420:
8418:
8411:
8410:
8408:
8407:
8402:
8400:Transfer-based
8397:
8392:
8387:
8382:
8376:
8374:
8368:
8367:
8365:
8364:
8359:
8354:
8348:
8346:
8340:
8339:
8336:
8335:
8333:
8332:
8327:
8322:
8317:
8312:
8307:
8302:
8296:
8294:
8285:
8284:
8279:
8274:
8269:
8264:
8259:
8253:
8252:
8247:
8242:
8237:
8232:
8227:
8222:
8221:
8220:
8215:
8205:
8200:
8195:
8190:
8185:
8180:
8175:
8173:Concept mining
8170:
8165:
8159:
8157:
8151:
8150:
8148:
8147:
8142:
8137:
8132:
8127:
8126:
8125:
8120:
8110:
8105:
8099:
8097:
8093:
8092:
8087:
8085:
8084:
8077:
8070:
8062:
8053:
8052:
8050:
8049:
8039:
8029:
8019:
8009:
7998:
7995:
7994:
7991:
7990:
7987:
7986:
7984:
7983:
7978:
7973:
7968:
7966:Pimp My Search
7963:
7962:
7961:
7956:
7951:
7946:
7936:
7931:
7926:
7918:
7916:
7912:
7911:
7909:
7908:
7901:
7898:The Internship
7894:
7887:
7880:
7873:
7866:
7861:
7856:
7848:
7840:
7838:
7834:
7833:
7831:
7830:
7823:
7816:
7809:
7802:
7795:
7788:
7781:
7774:
7766:
7764:
7758:
7757:
7755:
7754:
7747:
7740:
7733:
7726:
7718:
7716:
7710:
7709:
7707:
7706:
7701:
7696:
7691:
7686:
7681:
7674:
7669:
7664:
7659:
7654:
7652:Google hacking
7649:
7644:
7639:
7638:
7637:
7630:Google bombing
7627:
7622:
7617:
7609:
7607:
7599:
7598:
7595:
7588:
7587:
7584:
7583:
7581:
7580:
7569:
7566:
7565:
7563:
7562:
7554:
7546:
7538:
7529:
7527:
7523:
7522:
7520:
7519:
7511:
7503:
7495:
7487:
7481:
7473:
7465:
7456:
7454:
7450:
7449:
7447:
7446:
7441:
7433:
7425:
7417:
7409:
7401:
7391:
7389:
7385:
7384:
7382:
7381:
7373:
7365:
7357:
7349:
7348:(2010âpresent)
7346:European Union
7342:
7340:
7336:
7335:
7333:
7332:
7327:
7319:
7311:
7303:
7295:
7286:
7284:
7280:
7279:
7274:
7272:
7271:
7264:
7257:
7249:
7242:
7241:
7238:
7237:
7234:
7233:
7231:
7230:
7225:
7220:
7215:
7210:
7203:
7196:
7189:
7188:
7187:
7182:
7177:
7175:Smart Speakers
7167:
7162:
7155:
7154:
7153:
7146:
7139:
7129:
7122:
7117:
7111:
7109:
7105:
7104:
7102:
7101:
7100:
7099:
7094:
7087:
7080:
7070:
7064:
7059:
7054:
7049:
7044:
7043:
7042:
7031:
7029:
7025:
7024:
7022:
7021:
7020:
7019:
7014:
7009:
7004:
6999:
6994:
6984:
6983:
6982:
6977:
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6967:
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6950:
6944:
6942:
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6913:
6908:
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6893:
6888:
6883:
6878:
6873:
6868:
6863:
6858:
6853:
6848:
6843:
6838:
6833:
6823:
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6811:
6806:
6801:
6796:
6791:
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6756:
6754:
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6710:
6696:
6691:
6684:
6683:
6682:
6670:
6665:
6659:
6657:
6651:
6650:
6648:
6647:
6642:
6637:
6635:Remote Desktop
6632:
6625:
6620:
6615:
6607:
6605:
6599:
6598:
6596:
6595:
6588:
6583:
6576:
6571:
6564:
6557:
6552:
6547:
6540:
6535:
6530:
6523:
6516:
6511:
6504:
6499:
6494:
6487:
6482:
6477:
6470:
6465:
6458:
6451:
6446:
6439:
6432:
6425:
6422:Gesture Search
6418:
6413:
6408:
6403:
6398:
6396:Find My Device
6393:
6388:
6381:
6376:
6371:
6364:
6359:
6352:
6349:Building Maker
6345:
6338:
6331:
6326:
6321:
6316:
6309:
6304:
6303:
6302:
6297:
6286:
6280:
6276:
6275:
6273:
6272:
6271:
6270:
6260:
6255:
6250:
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6240:
6233:
6227:
6225:
6221:
6220:
6217:
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6214:
6213:
6208:
6203:
6196:
6189:
6184:
6177:
6176:
6175:
6165:
6157:
6155:
6151:
6150:
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6147:
6142:
6137:
6132:
6127:
6122:
6115:
6110:
6105:
6099:
6097:
6091:
6090:
6088:
6087:
6080:
6075:
6068:
6063:
6056:
6049:
6044:
6039:
6032:
6025:
6018:
6013:
6006:
6001:
5996:
5989:
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5952:
5951:
5949:
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5917:
5916:
5915:
5908:
5901:
5896:
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5882:
5875:
5870:
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5859:
5858:
5853:
5839:
5832:
5825:
5818:
5813:
5808:
5803:
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5793:
5787:
5785:
5779:
5778:
5776:
5775:
5770:
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5763:
5762:
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5756:
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5727:
5715:
5708:
5703:
5697:
5695:
5691:
5690:
5688:
5687:
5680:
5675:
5674:
5673:
5661:
5660:
5659:
5649:
5644:
5637:
5636:
5635:
5621:
5616:
5609:
5604:
5599:
5592:
5587:
5580:
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5570:
5569:
5568:
5561:
5551:
5544:
5543:
5542:
5535:
5523:
5516:
5515:
5514:
5507:
5495:
5490:
5483:
5478:
5471:
5464:
5457:
5452:
5450:Dataset Search
5447:
5442:
5435:
5434:
5433:
5423:
5416:
5409:
5402:
5395:
5390:
5382:
5380:
5374:
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5371:
5370:
5363:
5356:
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5350:
5349:
5337:
5330:
5323:
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5293:
5286:
5279:
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5265:
5260:
5255:
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5232:
5225:
5215:
5208:
5201:
5196:
5195:
5194:
5189:
5182:
5172:
5165:
5158:
5155:Friend Connect
5151:
5146:
5139:
5132:
5125:
5120:
5115:
5108:
5101:
5093:
5091:
5087:
5086:
5083:
5082:
5080:
5079:
5074:
5069:
5064:
5059:
5052:
5049:YouTube Rewind
5045:
5044:
5043:
5033:
5028:
5023:
5018:
5013:
5008:
5003:
4995:
4993:
4987:
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4810:
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4806:
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4771:
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4710:
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4698:
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4659:
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4612:
4606:
4600:
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4543:
4542:
4540:
4539:
4534:
4529:
4524:
4519:
4514:
4507:
4502:
4500:Search Console
4497:
4492:
4487:
4482:
4477:
4470:
4465:
4460:
4455:
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4431:
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4416:
4411:
4406:
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4396:
4391:
4384:
4379:
4374:
4369:
4362:
4360:Android Studio
4357:
4352:
4345:
4339:
4337:
4333:
4332:
4329:
4328:
4326:
4325:
4320:
4313:
4308:
4303:
4296:
4291:
4286:
4281:
4276:
4271:
4264:
4262:Compute Engine
4259:
4258:
4257:
4247:
4240:
4234:
4232:
4224:
4223:
4221:
4220:
4213:
4208:
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4181:
4180:
4179:
4174:
4162:
4161:
4160:
4155:
4145:
4144:
4143:
4134:Cloud Platform
4131:
4126:
4119:
4113:
4107:
4103:
4102:
4100:
4099:
4094:
4087:
4082:
4077:
4072:
4067:
4060:
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4026:
4021:
4016:
4011:
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4001:
3996:
3991:
3986:
3981:
3976:
3971:
3966:
3959:
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3899:
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3855:
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3831:
3826:
3821:
3814:
3807:
3802:
3797:
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3771:
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3754:
3753:
3750:
3749:
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3745:
3743:
3742:
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3729:
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3596:
3590:
3584:
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3575:
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3573:
3568:
3563:
3561:Creator Awards
3555:
3550:
3549:
3548:
3543:
3535:
3528:
3523:
3516:
3511:
3506:
3501:
3496:
3491:
3484:
3479:
3474:
3467:
3462:
3460:Made with Code
3457:
3452:
3447:
3442:
3437:
3432:
3425:
3418:
3411:
3406:
3401:
3399:Digital Garage
3396:
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3305:
3300:
3295:
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3283:
3282:
3280:
3279:
3274:
3272:Summer of Code
3269:
3264:
3257:
3250:
3247:Living Stories
3243:
3238:
3233:
3226:
3221:
3216:
3209:
3204:
3199:
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3119:
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3096:
3095:
3090:
3085:
3080:
3075:
3070:
3065:
3060:
3055:
3048:
3046:Chelsea Market
3043:
3038:
3033:
3026:
3019:
3013:
3011:
3007:
3006:
3003:
3002:
3000:
2999:
2997:Susan Wojcicki
2994:
2989:
2984:
2979:
2974:
2969:
2964:
2958:
2953:
2948:
2943:
2938:
2936:David Drummond
2933:
2928:
2926:David Cheriton
2923:
2917:
2911:
2909:
2905:
2904:
2902:
2901:
2896:
2891:
2886:
2880:
2874:
2869:
2864:
2859:
2854:
2852:Salar Kamangar
2849:
2844:
2839:
2834:
2829:
2824:
2819:
2814:
2812:Krishna Bharat
2808:
2806:
2799:
2793:
2792:
2790:
2789:
2788:
2787:
2782:
2777:
2770:
2760:
2758:Sustainability
2755:
2750:
2749:
2748:
2738:
2733:
2728:
2721:
2720:
2719:
2714:
2709:
2699:
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2256:
2250:
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2237:
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2229:
2221:
2212:
2210:
2206:
2205:
2203:
2202:
2196:
2190:
2183:
2181:
2177:
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2174:
2173:
2167:
2161:
2155:
2149:
2142:
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2133:
2126:
2122:
2121:
2119:
2118:
2113:
2108:
2102:
2099:
2098:
2093:
2091:
2090:
2083:
2076:
2068:
2058:
2057:
2046:huggingface.co
2033:
2009:
1984:
1949:
1917:
1905:huggingface.co
1892:
1867:
1848:
1816:
1767:
1755:huggingface.co
1742:
1710:
1699:huggingface.co
1686:
1654:
1622:
1610:huggingface.co
1597:
1585:huggingface.co
1572:
1545:
1513:
1501:huggingface.co
1488:
1481:
1456:
1433:
1411:
1386:
1349:
1347:
1344:
1327:
1324:
1323:
1322:
1304:
1290:
1280:
1258:
1244:
1234:
1220:
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1199:
1196:
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1190:
1187:
1184:
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1176:
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1164:
1161:
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1098:
1095:
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1089:
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1071:
1068:
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1062:
1058:
1047:
1034:
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1027:
1016:
1003:
1000:
996:
985:
972:
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966:
963:
960:
956:
945:
932:
929:
926:
923:
920:
916:
905:
902:
896:
895:
889:
874:
871:
852:
849:
846:
843:
839:
833:
830:
826:
822:
817:
814:
811:
808:
805:
801:
789:
788:
773:
770:
766:
754:
740:
737:
733:
722:
708:
705:
702:
699:
696:
692:
681:
667:
664:
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658:
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643:
629:
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623:
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613:
594:
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587:
584:
581:
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570:
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564:
561:
558:
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541:
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525:
524:
521:
518:
515:
512:
509:
506:
502:
501:
498:
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492:
489:
486:
483:
479:
478:
465:
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456:
452:
441:
428:
425:
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410:
397:
394:
390:
379:
366:
363:
360:
357:
354:
350:
339:
326:
323:
320:
317:
314:
310:
299:
296:
270:
267:
266:
265:
262:not acceptable
250:
239:
181:
178:
154:
153:
134:
130:
129:
124:
118:
117:
115:
114:
109:
103:
101:
95:
94:
89:
83:
82:
79:
78:
64:
62:
60:Stable release
56:
55:
52:
51:
38:
34:
33:
28:
15:
13:
10:
9:
6:
4:
3:
2:
9775:
9764:
9761:
9759:
9756:
9754:
9751:
9750:
9748:
9731:
9728:
9726:
9723:
9722:
9715:
9711:
9708:
9706:
9703:
9702:
9699:
9695:
9694:
9691:
9685:
9682:
9680:
9677:
9675:
9672:
9670:
9667:
9665:
9662:
9660:
9657:
9655:
9652:
9650:
9647:
9645:
9642:
9640:
9637:
9635:
9632:
9630:
9627:
9625:
9622:
9620:
9617:
9615:
9612:
9611:
9609:
9607:Architectures
9605:
9599:
9596:
9594:
9591:
9589:
9586:
9584:
9581:
9579:
9576:
9574:
9571:
9569:
9566:
9564:
9561:
9559:
9556:
9555:
9553:
9551:Organizations
9549:
9543:
9540:
9538:
9535:
9533:
9530:
9528:
9525:
9523:
9520:
9518:
9515:
9513:
9510:
9508:
9505:
9503:
9500:
9498:
9495:
9493:
9490:
9488:
9487:Yoshua Bengio
9485:
9484:
9482:
9478:
9468:
9467:Robot control
9465:
9461:
9458:
9457:
9456:
9453:
9451:
9448:
9446:
9443:
9441:
9438:
9436:
9433:
9431:
9428:
9426:
9423:
9421:
9418:
9417:
9415:
9411:
9405:
9402:
9400:
9397:
9395:
9392:
9390:
9387:
9385:
9384:Chinchilla AI
9382:
9380:
9377:
9375:
9372:
9370:
9367:
9365:
9362:
9360:
9357:
9355:
9352:
9350:
9347:
9345:
9342:
9340:
9337:
9335:
9332:
9330:
9327:
9323:
9320:
9319:
9318:
9315:
9313:
9310:
9308:
9305:
9303:
9300:
9298:
9295:
9293:
9290:
9289:
9287:
9283:
9277:
9274:
9270:
9267:
9265:
9262:
9261:
9260:
9257:
9253:
9250:
9248:
9245:
9243:
9240:
9239:
9238:
9235:
9233:
9230:
9228:
9225:
9223:
9220:
9218:
9215:
9213:
9210:
9208:
9205:
9203:
9200:
9198:
9195:
9193:
9190:
9189:
9187:
9183:
9180:
9176:
9170:
9167:
9165:
9162:
9160:
9157:
9155:
9152:
9150:
9147:
9145:
9142:
9140:
9137:
9136:
9134:
9130:
9124:
9121:
9119:
9116:
9114:
9111:
9109:
9106:
9104:
9101:
9100:
9098:
9094:
9086:
9083:
9082:
9081:
9078:
9076:
9073:
9071:
9068:
9064:
9063:Deep learning
9061:
9060:
9059:
9056:
9052:
9049:
9048:
9047:
9044:
9043:
9041:
9037:
9031:
9028:
9026:
9023:
9019:
9016:
9015:
9014:
9011:
9009:
9006:
9002:
8999:
8997:
8994:
8992:
8989:
8988:
8987:
8984:
8982:
8979:
8977:
8974:
8972:
8969:
8967:
8964:
8962:
8959:
8957:
8954:
8952:
8951:Hallucination
8949:
8945:
8942:
8941:
8940:
8937:
8935:
8932:
8928:
8925:
8924:
8923:
8920:
8919:
8917:
8913:
8907:
8904:
8902:
8899:
8897:
8894:
8892:
8889:
8887:
8884:
8882:
8879:
8877:
8874:
8872:
8869:
8867:
8866:
8862:
8861:
8859:
8857:
8853:
8844:
8839:
8837:
8832:
8830:
8825:
8824:
8821:
8809:
8806:
8804:
8801:
8799:
8798:Hallucination
8796:
8794:
8791:
8790:
8788:
8784:
8778:
8775:
8773:
8770:
8768:
8765:
8762:
8758:
8755:
8753:
8750:
8749:
8747:
8745:
8739:
8733:
8732:Spell checker
8730:
8728:
8725:
8723:
8720:
8718:
8715:
8713:
8710:
8708:
8705:
8704:
8702:
8700:
8694:
8688:
8685:
8683:
8680:
8678:
8675:
8674:
8672:
8670:
8666:
8660:
8657:
8655:
8652:
8650:
8647:
8645:
8642:
8640:
8637:
8636:
8634:
8632:
8626:
8616:
8613:
8611:
8608:
8606:
8603:
8601:
8598:
8596:
8593:
8591:
8588:
8586:
8583:
8581:
8578:
8577:
8575:
8571:
8565:
8562:
8560:
8557:
8555:
8552:
8550:
8547:
8545:
8544:Speech corpus
8542:
8540:
8537:
8535:
8532:
8530:
8527:
8525:
8524:Parallel text
8522:
8520:
8517:
8515:
8512:
8510:
8507:
8505:
8502:
8501:
8499:
8493:
8490:
8485:
8481:
8475:
8472:
8470:
8467:
8465:
8462:
8460:
8457:
8454:
8450:
8447:
8445:
8442:
8440:
8437:
8435:
8432:
8430:
8427:
8425:
8422:
8421:
8419:
8416:
8412:
8406:
8403:
8401:
8398:
8396:
8393:
8391:
8388:
8386:
8385:Example-based
8383:
8381:
8378:
8377:
8375:
8373:
8369:
8363:
8360:
8358:
8355:
8353:
8350:
8349:
8347:
8345:
8341:
8331:
8328:
8326:
8323:
8321:
8318:
8316:
8315:Text chunking
8313:
8311:
8308:
8306:
8305:Lemmatisation
8303:
8301:
8298:
8297:
8295:
8293:
8289:
8283:
8280:
8278:
8275:
8273:
8270:
8268:
8265:
8263:
8260:
8258:
8255:
8254:
8251:
8248:
8246:
8243:
8241:
8238:
8236:
8233:
8231:
8228:
8226:
8223:
8219:
8216:
8214:
8211:
8210:
8209:
8206:
8204:
8201:
8199:
8196:
8194:
8191:
8189:
8186:
8184:
8181:
8179:
8176:
8174:
8171:
8169:
8166:
8164:
8161:
8160:
8158:
8156:
8155:Text analysis
8152:
8146:
8143:
8141:
8138:
8136:
8133:
8131:
8128:
8124:
8121:
8119:
8116:
8115:
8114:
8111:
8109:
8106:
8104:
8101:
8100:
8098:
8096:General terms
8094:
8090:
8083:
8078:
8076:
8071:
8069:
8064:
8063:
8060:
8048:
8040:
8038:
8030:
8028:
8020:
8018:
8010:
8007:
8003:
8000:
7999:
7996:
7982:
7979:
7977:
7974:
7972:
7969:
7967:
7964:
7960:
7957:
7955:
7952:
7950:
7947:
7945:
7942:
7941:
7940:
7937:
7935:
7932:
7930:
7927:
7924:
7920:
7919:
7917:
7913:
7907:
7906:
7902:
7900:
7899:
7895:
7893:
7892:
7888:
7886:
7885:
7881:
7879:
7878:
7874:
7872:
7871:
7867:
7865:
7862:
7860:
7857:
7855:
7853:
7849:
7847:
7846:
7842:
7841:
7839:
7835:
7829:
7828:
7824:
7822:
7821:
7817:
7815:
7814:
7810:
7808:
7807:
7803:
7801:
7800:
7796:
7794:
7793:
7789:
7787:
7786:
7782:
7780:
7779:
7775:
7773:
7772:
7768:
7767:
7765:
7763:
7759:
7753:
7752:
7748:
7746:
7745:
7741:
7739:
7738:
7734:
7732:
7731:
7727:
7725:
7724:
7720:
7719:
7717:
7715:
7714:Documentaries
7711:
7705:
7702:
7700:
7697:
7695:
7692:
7690:
7687:
7685:
7682:
7679:
7675:
7673:
7670:
7668:
7665:
7663:
7660:
7658:
7655:
7653:
7650:
7648:
7645:
7643:
7642:Google effect
7640:
7636:
7633:
7632:
7631:
7628:
7626:
7625:Google (verb)
7623:
7621:
7618:
7615:
7614:Don't be evil
7611:
7610:
7608:
7604:
7600:
7593:
7589:
7579:
7571:
7570:
7567:
7560:
7559:
7555:
7552:
7551:
7547:
7544:
7543:
7539:
7536:
7535:
7531:
7530:
7528:
7524:
7517:
7516:
7515:Frank v. Gaos
7512:
7509:
7508:
7504:
7501:
7500:
7496:
7493:
7492:
7488:
7485:
7482:
7479:
7478:
7474:
7471:
7470:
7466:
7463:
7462:
7458:
7457:
7455:
7451:
7445:
7442:
7439:
7438:
7434:
7431:
7430:
7426:
7423:
7422:
7418:
7415:
7414:
7410:
7407:
7406:
7402:
7399:
7397:
7393:
7392:
7390:
7386:
7379:
7378:
7374:
7371:
7370:
7366:
7363:
7362:
7358:
7355:
7354:
7350:
7347:
7344:
7343:
7341:
7337:
7331:
7328:
7325:
7324:
7320:
7317:
7316:
7312:
7309:
7308:
7304:
7301:
7300:
7296:
7293:
7292:
7288:
7287:
7285:
7281:
7277:
7270:
7265:
7263:
7258:
7256:
7251:
7250:
7247:
7243:
7229:
7226:
7224:
7221:
7219:
7216:
7214:
7211:
7209:
7208:
7204:
7202:
7201:
7197:
7195:
7194:
7190:
7186:
7183:
7181:
7178:
7176:
7173:
7172:
7171:
7168:
7166:
7165:Liquid Galaxy
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7062:Pixel Watch 3
7060:
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7057:Pixel Watch 2
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6623:Dinosaur Game
6621:
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6609:
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6594:
6593:
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6568:URL Shortener
6565:
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6539:
6536:
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6517:
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6514:Safe Browsing
6512:
6510:
6509:
6505:
6503:
6500:
6498:
6495:
6493:
6492:
6488:
6486:
6485:Person Finder
6483:
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6329:Authenticator
6327:
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6258:Toontastic 3D
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6119:Fusion Tables
6116:
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5873:Looker Studio
5871:
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5504:Image Labeler
5501:
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5090:Communication
5088:
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4882:Santa Tracker
4880:
4878:
4875:
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4868:
4866:
4863:
4861:
4860:
4856:
4854:
4853:Owlchemy Labs
4851:
4849:
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4830:Entertainment
4828:
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4459:
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4449:
4447:
4446:Native Client
4444:
4442:
4441:
4440:Mashup Editor
4437:
4435:
4432:
4430:
4427:
4425:
4422:
4420:
4417:
4415:
4412:
4410:
4407:
4405:
4404:Data Protocol
4402:
4400:
4397:
4395:
4394:Closure Tools
4392:
4390:
4389:
4385:
4383:
4380:
4378:
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4373:
4370:
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3732:Reactions to
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3605:2018 walkouts
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3455:Liquid Galaxy
3453:
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3224:Doodle4Google
3222:
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3213:Developer Day
3210:
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3195:Developer Lab
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3190:Developer Day
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3100:
3094:
3091:
3089:
3088:YouTube Space
3086:
3084:
3081:
3079:
3076:
3074:
3071:
3069:
3068:Mayfield Mall
3066:
3064:
3061:
3059:
3056:
3054:
3053:
3049:
3047:
3044:
3042:
3039:
3037:
3034:
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3027:
3025:
3024:
3020:
3018:
3015:
3014:
3012:
3008:
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2995:
2993:
2990:
2988:
2985:
2983:
2980:
2978:
2975:
2973:
2970:
2968:
2965:
2962:
2959:
2957:
2956:Paul Otellini
2954:
2952:
2949:
2947:
2944:
2942:
2939:
2937:
2934:
2932:
2929:
2927:
2924:
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2912:
2910:
2906:
2900:
2897:
2895:
2892:
2890:
2887:
2884:
2881:
2878:
2877:Sundar Pichai
2875:
2873:
2872:Rick Osterloh
2870:
2868:
2865:
2863:
2860:
2858:
2855:
2853:
2850:
2848:
2845:
2843:
2840:
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2835:
2833:
2830:
2828:
2825:
2823:
2820:
2818:
2815:
2813:
2810:
2809:
2807:
2803:
2800:
2798:
2794:
2786:
2783:
2781:
2780:Social impact
2778:
2775:
2774:Me at the zoo
2771:
2769:
2766:
2765:
2764:
2761:
2759:
2756:
2754:
2753:Sidewalk Labs
2751:
2747:
2744:
2743:
2742:
2739:
2737:
2734:
2732:
2729:
2727:
2726:
2722:
2718:
2715:
2713:
2712:Public Alerts
2710:
2708:
2705:
2704:
2703:
2700:
2698:
2695:
2693:
2690:
2688:
2685:
2681:
2680:
2676:
2675:
2674:
2671:
2667:
2664:
2662:
2659:
2657:
2656:recovery mode
2654:
2652:
2649:
2648:
2647:
2644:
2640:
2637:
2635:
2634:
2630:
2629:
2628:
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2623:
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2613:
2609:
2602:
2598:
2592:
2589:
2585:
2582:
2581:
2580:
2577:
2575:
2572:
2570:
2567:
2565:
2564:Alphabet Inc.
2562:
2561:
2558:
2554:
2547:
2542:
2540:
2535:
2533:
2528:
2527:
2524:
2512:
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2401:
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2383:
2379:
2372:
2369:
2366:
2363:
2360:
2357:
2356:
2354:
2350:
2347:
2345:Generative AI
2343:
2333:
2330:
2328:
2325:
2323:
2320:
2319:
2317:
2313:
2306:
2303:
2300:
2297:
2294:
2291:
2290:
2288:
2284:
2281:
2277:
2266:
2265:AlphaGeometry
2263:
2260:
2257:
2254:
2251:
2248:
2245:
2244:
2242:
2238:
2227:
2226:
2222:
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2207:
2200:
2197:
2194:
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2188:
2185:
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2182:
2178:
2171:
2168:
2165:
2162:
2159:
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2150:
2147:
2144:
2143:
2141:
2137:
2134:
2130:
2127:
2123:
2117:
2114:
2112:
2109:
2107:
2104:
2103:
2100:
2096:
2089:
2084:
2082:
2077:
2075:
2070:
2069:
2066:
2062:
2047:
2043:
2037:
2034:
2023:
2019:
2013:
2010:
1999:
1995:
1988:
1985:
1974:
1969:
1965:
1964:
1956:
1954:
1950:
1945:
1941:
1937:
1933:
1929:
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1906:
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1896:
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1828:
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1771:
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1463:
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1437:
1434:
1428:
1423:
1415:
1412:
1401:
1400:
1393:
1391:
1387:
1382:
1378:
1375:(140): 1â67.
1374:
1370:
1366:
1359:
1357:
1355:
1351:
1345:
1343:
1341:
1337:
1331:
1325:
1320:
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1308:
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1302:
1298:
1294:
1291:
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1284:
1281:
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1274:
1270:
1266:
1262:
1259:
1256:
1252:
1248:
1245:
1242:
1238:
1235:
1232:
1228:
1227:LM-adapted T5
1224:
1221:
1218:
1214:
1211:
1207:
1206:LM-adapted T5
1204:
1203:
1197:
1194:
1191:
1188:
1185:
1182:
1179:
1178:
1174:
1171:
1168:
1165:
1162:
1159:
1156:
1155:
1151:
1148:
1145:
1142:
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1136:
1133:
1132:
1128:
1125:
1122:
1119:
1116:
1113:
1110:
1109:
1105:
1102:
1099:
1096:
1093:
1090:
1087:
1086:
1069:
1066:
1063:
1060:
1056:
1048:
1032:
1029:
1025:
1017:
1001:
998:
994:
986:
970:
967:
964:
961:
958:
954:
946:
930:
927:
924:
921:
918:
914:
906:
903:
900:
899:
893:
890:
887:
884:
883:
882:
879:
872:
870:
866:
850:
847:
844:
841:
837:
831:
828:
824:
820:
815:
812:
809:
806:
803:
799:
786:
771:
768:
764:
755:
738:
735:
731:
723:
706:
703:
700:
697:
694:
690:
682:
665:
662:
659:
656:
652:
644:
627:
624:
621:
618:
615:
611:
603:
602:
601:
598:
591:
588:
585:
582:
579:
576:
573:
572:
568:
565:
562:
559:
556:
553:
550:
549:
545:
542:
539:
536:
533:
530:
527:
526:
522:
519:
516:
513:
510:
507:
504:
503:
499:
496:
493:
490:
487:
484:
481:
480:
463:
460:
457:
454:
450:
442:
426:
423:
419:
411:
395:
392:
388:
380:
364:
361:
358:
355:
352:
348:
340:
324:
321:
318:
315:
312:
308:
300:
297:
294:
293:
290:
287:
285:
275:
268:
255:
251:
241:translation:
240:
217:
216:
215:
208:
204:
193:
191:
187:
179:
177:
175:
170:
168:
165:developed by
164:
160:
151:
135:
131:
128:
125:
123:
119:
113:
110:
108:
105:
104:
102:
100:
96:
93:
90:
88:
84:
80:
75:
63:
61:
57:
53:
39:
35:
32:
29:
27:
23:
9573:Hugging Face
9537:David Silver
9185:Audioâvisual
9039:Applications
9018:Augmentation
8863:
8712:Concordancer
8108:Bag-of-words
8001:
7903:
7896:
7889:
7882:
7875:
7868:
7851:
7843:
7825:
7818:
7811:
7804:
7797:
7790:
7783:
7776:
7771:Google Hacks
7769:
7749:
7742:
7735:
7728:
7721:
7704:YouTube poop
7672:Googlization
7556:
7548:
7540:
7532:
7513:
7505:
7497:
7489:
7475:
7467:
7459:
7435:
7427:
7419:
7411:
7403:
7394:
7375:
7367:
7359:
7351:
7321:
7313:
7305:
7297:
7289:
7205:
7198:
7191:
7157:
7148:
7143:Nexus Player
7141:
7134:
7124:
7089:
7084:Contact Lens
7082:
7075:
7069:(unreleased)
7067:Project Iris
7002:Pixelbook Go
6952:
6929:
6924:Play Edition
6922:
6789:Galaxy Nexus
6771:
6759:
6714:
6705:
6698:
6686:
6679:Nik Software
6677:
6627:
6610:
6590:
6578:
6574:Voice Access
6566:
6559:
6542:
6525:
6518:
6506:
6497:Question Hub
6489:
6472:
6462:Nearby Share
6460:
6453:
6441:
6434:
6427:
6420:
6406:Google Fonts
6383:
6366:
6354:
6347:
6340:
6333:
6313:Android Beam
6311:
6307:Android Auto
6235:
6211:Web Designer
6200:Page Creator
6198:
6191:
6179:
6160:
6117:
6095:Docs Editors
6082:
6070:
6058:
6051:
6034:
6027:
6020:
6008:
5991:
5987:Cloud Search
5976:Browser Sync
5974:
5967:
5955:Organization
5938:
5931:
5919:
5910:
5903:
5886:
5877:
5856:Invite Media
5848:
5841:
5834:
5827:
5820:
5736:
5729:
5722:
5712:ImageAmerica
5710:
5682:
5678:Voice Search
5668:
5639:
5630:
5623:
5611:
5594:
5582:
5578:People Cards
5563:
5546:
5537:
5530:
5518:
5509:
5502:
5485:
5473:
5466:
5459:
5445:Data Commons
5437:
5431:Ngram Viewer
5418:
5411:
5404:
5397:
5385:
5365:
5358:
5344:
5332:
5325:
5318:
5311:
5302:
5297:Quest Visual
5295:
5288:
5281:
5274:
5267:
5250:
5243:
5236:
5227:
5210:
5203:
5184:
5167:
5160:
5153:
5141:
5134:
5127:
5110:
5103:
5096:
5054:
5047:
5006:BrandConnect
4998:
4968:
4961:
4926:
4907:
4900:
4893:
4886:
4877:Quick, Draw!
4869:
4857:
4840:
4745:
4722:File formats
4700:
4686:
4664:
4624:
4509:
4472:
4450:
4438:
4388:Chrome Frame
4386:
4364:
4347:
4315:
4298:
4266:
4242:
4227:
4215:
4191:ITA Software
4183:
4164:
4138:
4121:
4089:
4062:
4045:
4028:
3961:
3892:
3857:
3816:
3809:
3733:
3624:
3546:Grace Hopper
3530:
3518:
3486:
3469:
3427:
3420:
3413:
3376:
3336:Projects and
3313:Music Awards
3267:Science Fair
3259:
3254:Lunar XPRIZE
3252:
3245:
3228:
3211:
3150:
3143:
3122:Product Sans
3058:Data centers
3050:
3028:
3021:
2982:Amit Singhal
2972:Eric Schmidt
2946:Timnit Gebru
2941:Alan Eustace
2867:Alan Mulally
2857:Ray Kurzweil
2723:
2677:
2631:
2478:Google Pixel
2223:
2215:
2180:Competitions
2158:AlphaGo Zero
2111:Google Brain
2060:
2049:. Retrieved
2045:
2036:
2025:. Retrieved
2021:
2012:
2001:. Retrieved
1997:
1987:
1977:, retrieved
1962:
1938:(377): 1â8.
1935:
1931:
1920:
1909:. Retrieved
1907:. 2024-01-04
1904:
1895:
1885:, retrieved
1879:
1861:
1851:
1837:(70): 1â53.
1834:
1830:
1819:
1784:
1780:
1770:
1759:. Retrieved
1757:. 2024-03-04
1754:
1745:
1735:, retrieved
1720:
1713:
1702:. Retrieved
1698:
1689:
1679:, retrieved
1664:
1657:
1647:, retrieved
1632:
1625:
1614:. Retrieved
1612:. 2020-11-19
1609:
1600:
1589:. Retrieved
1587:. 2020-11-19
1584:
1575:
1564:. Retrieved
1560:
1538:, retrieved
1523:
1516:
1505:. Retrieved
1503:. 2020-04-24
1500:
1491:
1472:
1450:
1446:
1436:
1414:
1404:, retrieved
1398:
1372:
1368:
1339:
1332:
1329:
1326:Applications
1310:
1306:
1296:
1295:20B (2022):
1292:
1286:
1282:
1279:with MeshTF.
1272:
1268:
1260:
1250:
1246:
1236:
1226:
1222:
1209:
1205:
891:
885:
880:
876:
867:
790:
756:
599:
597:
288:
281:
269:Architecture
247:Das ist gut.
226:, where the
213:
194:
183:
171:
158:
157:
9721:Categories
9669:Autoencoder
9624:Transformer
9492:Alex Graves
9440:OpenAI Five
9344:IBM Watsonx
8966:Convolution
8944:Overfitting
8669:Topic model
8549:Text corpus
8395:Statistical
8262:Text mining
8103:AI-complete
8047:WikiProject
7976:Sensorvault
7845:Google Feud
7813:In the Plex
7667:Googlewhack
7657:Googleshare
7647:Googlefight
7283:Advertising
7052:Pixel Watch
6931:Project Ara
6767:Android One
6753:Smartphones
6656:photography
6629:GreenBorder
6502:Quick Share
6391:Family Link
6385:Expeditions
6374:Crowdsource
6368:Cloud Print
6268:Marketplace
6237:Grasshopper
6053:Quickoffice
5843:DoubleClick
5836:Contributor
5816:Attribution
5784:and finance
5749:Street View
5511:Image Swirl
5439:Code Search
5420:Blog Search
5149:Fi Wireless
4696:Transformer
4553:Hummingbird
4537:Web Toolkit
4522:Trendalyzer
4317:Stackdriver
4211:Project IDX
4158:Crashlytics
4129:Apps Script
4047:Reqwireless
3952:FlatBuffers
3947:File System
3767:Development
3652:Street View
3520:Solve for X
3477:Nightingale
3345:20% project
3338:initiatives
3303:Comedy Week
3052:Chrome Zone
3023:Androidland
3010:Real estate
2977:Ram Shriram
2920:Sergey Brin
2889:Rajen Sheth
2473:Google Labs
2299:Transformer
1787:: 291â306.
256:sentence):
9747:Categories
9710:Technology
9563:EleutherAI
9522:Fei-Fei Li
9517:Yann LeCun
9430:Q-learning
9413:Decisional
9339:IBM Watson
9247:Midjourney
9139:TensorFlow
8986:Activation
8939:Regression
8934:Clustering
8390:Rule-based
8272:Truecasing
8140:Stop words
7827:The MANIAC
7662:Google tax
7276:Litigation
7180:Thermostat
7136:Chromecast
7047:Pixel Buds
6980:Comparison
6948:Chromebook
6916:Comparison
6819:Comparison
6707:Web Albums
6654:Images and
6561:Tilt Brush
6527:SlickLogin
6253:Read Along
6187:FeedBurner
6154:Publishing
5791:Ad Manager
5738:Navigation
5694:Navigation
5613:Searchwiki
5602:SafeSearch
5475:Flu Trends
5455:Dictionary
5056:RightsFlow
5011:Content ID
4713:Web Server
4495:Schema.org
4485:Public DNS
4458:OpenRefine
4429:Lighthouse
4255:VirusTotal
4196:Kubernetes
4117:App Engine
4070:TensorFlow
4024:OpenSocial
3927:Dialogflow
3871:frameworks
3869:Libraries/
3841:ChromiumOS
3790:Automotive
3697:Censorship
3642:Litigation
3632:FairSearch
3615:Censorship
3504:RechargeIT
3488:PowerMeter
3063:Googleplex
2961:Larry Page
2931:Matt Cutts
2899:Neal Mohan
2894:Hal Varian
2883:Ruth Porat
2862:Ann Mather
2847:Urs Hölzle
2827:John Doerr
2717:RechargeIT
2702:Google.org
2400:Chinchilla
2327:TensorFlow
2225:The MANIAC
2051:2024-08-23
2042:"AuraFlow"
2027:2024-08-23
2003:2024-05-05
1979:2024-08-05
1973:2205.05131
1911:2024-08-05
1887:2024-08-05
1794:2105.13626
1761:2024-08-21
1737:2024-08-05
1731:2110.08207
1704:2024-08-05
1681:2024-08-05
1675:2101.03961
1649:2024-08-21
1643:2104.08691
1616:2024-09-17
1591:2024-09-17
1566:2024-08-05
1540:2024-09-17
1534:1803.02155
1507:2024-09-17
1427:2210.03094
1406:2024-08-21
1346:References
1340:Pile-T5-XL
1277:TensorFlow
1263:(2022): a
1247:Flan-T5-XL
904:Parameters
298:Parameters
127:Apache-2.0
87:Repository
9593:MIT CSAIL
9558:Anthropic
9527:Andrew Ng
9425:AlphaZero
9269:VideoPoet
9232:AlphaFold
9169:MindSpore
9123:SpiNNaker
9118:Memristor
9025:Diffusion
9001:Rectifier
8981:Batchnorm
8961:Attention
8956:Adversary
8699:reviewing
8497:standards
8495:Types and
8004:indicate
7852:Google Me
7339:Antitrust
7330:Jedi Blue
7120:Chromebox
7115:Chromebit
7077:Cardboard
7028:Wearables
6997:Pixelbook
6779:Nexus One
6688:Panoramio
6640:Web Store
6586:Web Light
6429:Impermium
6342:BufferBox
6324:Assistant
6295:Dashboard
6263:Workspace
6248:Photomath
6231:Classroom
6224:Education
6173:Pyra Labs
5969:Bookmarks
5868:Analytics
5731:Map Maker
5493:Google.by
5468:Fast Flip
5461:Directory
5340:Translate
5304:Word Lens
5269:Moderator
5245:Marratech
5192:Interface
5136:Dodgeball
4970:Newsstand
4637:Googlebot
4590:RankBrain
4490:reCAPTCHA
4468:PageSpeed
4366:App Maker
4300:Messaging
4279:Datastore
4250:Chronicle
4106:Platforms
4004:MapReduce
3937:Fast Pair
3917:Chart API
3846:Neverware
3626:Dragonfly
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