Tweet ; LLM AND Fine-tuning
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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 About
LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."
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2024-03-28 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
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 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
Hyung Won Chung sur Twitter : "RLHF as an instance of using a learned objective function"
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2023-05-18 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
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 About
Shayne Longpre sur Twitter : "A 🧵 on @OpenAI LLM "Alignment" (e.g. #ChatGPT)..."
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2023-02-27 About
Shayne Longpre sur Twitter : "What’s the best completely public competitor to #ChatGPT? Flan-T5 beats all public models we tested..."
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2023-02-01 About