LM Fine-tuning AND Tweet
Common descendants
10 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 About
UKP Lab sur X : "a lightweight solution for few-shot domain-specific sentence classification: AdaSent!..."
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2023-12-09 About
Leandro von Werra sur X : "Companies are currently deciding whether to invest in fine-tuning their own open LLMs (e.g. Llama 2) or to use closed LLMs via an API (e.g. Claude or GPT4)..."
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2023-10-01 About
Rachel Woods sur X : "There's a resurgence of interest in fine tuning LLMs I've yet to see a successful public use case where fine tuning > prompting. But here's where I see fine tuning *mattering*..."
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2023-08-19 About
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 About
Sanjeev Arora sur Twitter : "new `skills' induced by LLM fine-tuning can be localized in tiny fraction of the model."
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2023-07-07 About
Sanjeev Arora sur Twitter : "Fine-tuning language models using just forward pass!...r
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2023-06-09 About
Andrej Karpathy sur Twitter : "There's a chance that LoRA finetunes work so well that it dramatically alters the finetuning vs. retrieval + few-shot prompting power dynamic..."
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2023-04-21 About
(((ل()(ل() 'yoav))))👾 sur Twitter : "there is this genre of papers that show you can train/tune only some subset of a network's weights, freezing the rest, and things still work as well as (or better than) full training/tuning..."
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2023-02-15 About
Sanjeev Arora sur Twitter : "A priori, fine-tuning a huge LM on a few datapoints could lead to catastrophic overfitting. So why doesn’t it? Our theory + experiments..."
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2022-10-14 About