Omer Levy sur Twitter : "What if I told you that fine-tuning T5-Large (0.8B params) on a couple hundred examples could outperform GPT-3 (175B params) on a bunch of tasks?"
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Guillaume Lample sur Twitter : "Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters..."
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2023-02-25 About
Ramsri Goutham Golla sur Twitter : "The most practical open-source competitor to @OpenAI 's GPT-3 is Google's Flan-T5 Here are 5 Flan-T5 resources to try out easily, deploy, or fine-tune it! 🧵" / Twitter
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2023-02-04 About
Andrej Karpathy sur Twitter : "Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size..."
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2023-01-05 About
Allen Institute for AI sur Twitter : "MemPrompt, appearing at #EMNLP2022, is a new way to "fix" #GPT3 after deployment via user interaction"
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2022-12-11 About
Andrew Trask about large language models: The "bigness" is a temporary flaw, not a permanent feature of progress"
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2022-03-13 About
Inria Paris NLP (ALMAnaCH team) sur Twitter : "#PAGnol, a new, free, GPT-3-like generative LM for French
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2021-05-04 About
Emily M. Bender sur Twitter : "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?"
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2021-01-23 About