Охота на электроовец. Большая книга искусственного интеллекта - Сергей Сергеевич Марков

N., Hutchinson B., Pope R., Bradbury J., Austin J., Isard M., Gur-Ari G., Yin P., Duke T., Levskaya A., Ghemawat S., Dev S., Michalewski H., Garcia X., Misra V., Robinson K., Fedus L., Zhou D., Ippolito D., Luan D., Lim H., Zoph B., Spiridonov A., Sepassi R., Dohan D., Agrawal S., Omernick M., Dai A. M., Pillai T. S., Pellat M., Lewkowycz A., Moreira E., Child R., Polozov O., Lee K., Zhou Z., Wang X., Saeta B., Diaz M., Firat O., Catasta M., Wei J., Meier-Hellstern K., Eck D., Dean J., Petrov S., Fiedel N. (2022). PaLM: Scaling Language Modeling with Pathways // https://arxiv.org/abs/2204.02311

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Anil R., Dai A. M., Firat O., Johnson M., Lepikhin D., Passos A., Shakeri S., Taropa E., Bailey P., Chen Z., Chu E., Clark J. H., Shafey L. E., Huang Y., Meier-Hellstern K., Mishra G., Moreira E., Omernick M., Robinson K., Ruder S., Tay Y., Xiao K., Xu Y., Zhang Y., Abrego G. H., Ahn J., Austin J., Barham P., Botha J., Bradbury J., Brahma S., Brooks K., Catasta M., Cheng Y., Cherry C., Choquette-Choo C. A., Chowdhery A., Crepy C., Dave S., Dehghani M., Dev S., Devlin J., Díaz M., Du N., Dyer E., Feinberg V., Feng F., Fienber V., Freitag M., Garcia X., Gehrmann S., Gonzalez L., Gur-Ari G., Hand S., Hashemi H., Hou L., Howland J., Hu A., Hui J., Hurwitz J., Isard M., Ittycheriah A., Jagielski M., Jia W., Kenealy K., Krikun M., Kudugunta S., Lan C., Lee K., Lee B., Li E., Li M., Li W., Li Y., Li J., Lim H., Lin H., Liu Z., Liu F., Maggioni M., Mahendru A., Maynez J., Misra V., Moussalem M., Nado Z., Nham J., Ni E., Nystrom A., Parrish A., Pellat M., Polacek M., Polozov A., Pope R., Qiao S., Reif E., Richter B., Riley P., Ros A. C., Roy A., Saeta B., Samuel R., Shelby R., Slone A., Smilkov D., So D. R., Sohn D., Tokumine S., Valter D., Vasudevan V., Vodrahalli K., Wang X., Wang P., Wang Z., Wang T., Wieting J., Wu Y., Xu K., Xu Y., Xue L., Yin P., Yu J., Zhang Q., Zheng S., Zheng C., Zhou W., Zhou D., Petrov S., Wu Y. (2023). PaLM 2 Technical Report // https://arxiv.org/abs/2305.10403

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Chen X., Liang C., Huang D., Real E., Wang K., Liu Y., Pham H., Dong X., Luong T., Hsieh C.-J., Lu Y., Le Q. V. (2023). Symbolic Discovery of Optimization Algorithms // https://arxiv.org/abs/2302.06675

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Liu H., Li Z., Hall D., Liang P., Ma T. (2023). Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training // https://arxiv.org/abs/2305.14342

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Tay Y., Dehghani M., Tran V. Q., Garcia X., Wei J., Wang X., Chung H. W., Shakeri s., Bahri D., Schuster T., Zheng H. S., Zhou D., Houlsby N., Metzler D. (2022). UL2: Unifying Language Learning Paradigms // https://arxiv.org/abs/2205.05131

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Змитрович Д. (2023). FRED-T5. Новая SOTA модель для русского языка от SberDevices. / Хабр, 19 апр 2023 // https://habr.com/ru/companies/sberdevices/articles/730088/

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Bavarian M., Jun H., Tezak N., Schulman J., McLeavey C., Tworek J., Chen M. (2022). Efficient Training of Language Models to Fill in the Middle // https://arxiv.org/abs/2207.14255

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Ouyang L., Wu J., Jiang X., Almeida D., Wainwright C. L., Mishkin P., Zhang C., Agarwal S., Slama K., Ray A., Schulman J., Hilton J., Kelton F., Miller L., Simens M., Askell A., Welinder P., Christiano P., Leike J., Lowe R. (2022). Training language models to follow instructions with human feedback // https://cdn.openai.com/papers/Training_language_models_to_follow_instructions_with_human_feedback.pdf

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Branwen G. (2022). GPT-3 2nd Anniversary / Reddit, May 28, 2022 // https://www.reddit.com/r/mlscaling/comments/uznkhw/gpt3_2nd_anniversary/

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OpenAI (2023). GPT-4 Technical Report // https://arxiv.org/abs/2303.08774

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Pichai S. (2023). An important next step on our AI journey // https://blog.google/technology/ai/bard-google-ai-search-updates/

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Anthropic PBC (2023). Introducing Claude // https://www.anthropic.com/index/introducing-claude

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SambaNova Systems, Together Computer (2023). BLOOMChat: a New Open Multilingual Chat LLM // https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1

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Taori R., Gulrajani I., Zhang T, Dubois Y., Li X., Guestrin C., Liang P., Hashimoto T. B. (2023). Stanford Alpaca: An Instruction-following LLaMA model // https://github.com/tatsu-lab/stanford_alpaca

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Touvron H., Lavril T., Izacard G., Martinet X., Lachaux M.-A., Lacroix T., Rozière B., Goyal N., Hambro E., Azhar F., Rodriguez A., Joulin A., Grave E., Lample G. (2023). LLaMA: Open and Efficient Foundation Language Models // https://arxiv.org/abs/2302.13971

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Zhang S., Roller S., Goyal N., Artetxe M., Chen M., Chen S., Dewan C., Diab M., Li X., Lin X. V., Mihaylov T., Ott M., Shleifer S., Shuster K., Simig D., Koura P. S., Sridhar A., Wang T., Zettlemoyer L. (2022). OPT: Open Pre-trained Transformer Language Models // https://arxiv.org/abs/2205.01068

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Taori R., Gulrajani I., Zhang T, Dubois Y., Li X., Guestrin C., Liang P., Hashimoto T. B. (2023). Stanford Alpaca: An Instruction-following LLaMA model // https://github.com/tatsu-lab/stanford_alpaca

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Vicuna Team (2023). Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality // https://lmsys.org/blog/2023-03-30-vicuna/

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Dettmers T., Pagnoni A., Holtzman A., Zettlemoyer L. (2023). QLoRA: Efficient Finetuning of Quantized LLMs // https://arxiv.org/abs/2305.14314

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Geng X., Gudibande A., Liu H., Wallace E., Abbeel P., Levine S., Song D. (2023). Koala: A Dialogue Model for Academic Research // https://bair.berkeley.edu/blog/2023/04/03/koala/

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Patil S. G., Zhang T., Wang X., Gonzalez J. E. (2023). Gorilla: Large Language Model Connected with Massive APIs // https://arxiv.org/abs/2305.15334

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Mukherjee S., Mitra A., Jawahar G., Agarwal s., Palangi H., Awadallah A. (2023). Orca: Progressive