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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Jeremy Howard sur X : "I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!"
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2023-09-24 A propos
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 A propos
Jerry Liu sur Twitter : "if you have access to a rich query language (e.g. SQL / any DSL), use a vector db to index additional metadata to help the LLM execute queries using this query language, while preventing prompt overflows!
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2023-07-20 A propos
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 A propos