Foundation Models AND Tweet
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11 Documents
Jeremy Howard sur X : "FSDP/QDoRA with Llama3 : I believe that this combination is likely to create better task-specific models than anything else at any cost."
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2024-04-23 A propos
Philipp Schmid sur X : “YaRN” allows you to scale LLMs like llama 2 to over 100k context!...
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2023-09-01 A propos
Andrej Karpathy sur Twitter : "How is LLaMa.cpp possible?"
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2023-08-16 A propos
Simon Willison sur Twitter : "Run Llama 2 on your own Mac using LLM and Homebrew..."
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2023-08-02 A propos
Andrej Karpathy sur Twitter : "My fun weekend hack: llama2.c Lets you train a baby Llama 2 model in PyTorch, then inference it with one 500-line file with no dependencies, in pure C."
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2023-07-24 A propos
clem 🤗 sur Twitter : "Llama 2 by @Meta is already integrated with @huggingface transformers, TGI, inference endpoints, PEFT and much more..."
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2023-07-19 A propos
Lenka Zdeborova sur Twitter : "Let me post the concluding slide from my talk today at the ICLR workshop on Mathematical and Empirical Understanding of Foundation Models"
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2023-05-04 A propos
Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
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2023-04-05 A propos
Jeremy Howard sur Twitter : "There's a lot of folks under the misunderstanding that it's now possible to run a 30B param LLM in <6GB, based on this GitHub discussion. This is not the case..." (thread)
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2023-04-03 A propos
Jim Fan sur Twitter : "...NVIDIA AI Foundations "
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2023-03-24 A propos
Guillaume Lample sur Twitter : "Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters..."
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2023-02-25 A propos