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Ask HN: People who switched from GPT to their own models. How was it?

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Re: Ask HN: People who switched from GPT to their own models. How was it?

#4

I fine-tuned an LLM to do technical stuff. It works pretty darn good. What I actually discovered is that when evaluating LLMs, it is surprisingly difficult to evaluate them. And, also, that GPT 4 isn't that great, in general.

Which model did you start with?

Re: Ask HN: People who switched from GPT to their own models. How was it?

#5
Running Mistral-Instruct-0.1 for call/email summarization, Mixtral for contract mining & OpenChat to augment agentic chatbot equipped with RAG tools(Instruct again).

Experience has been great, INT8 tradeoffs are acceptable until hardware FP8(FP4 anyone?) becomes more widely & cheaply available. On-prem costs have been absorbed already for few boxes of A100s & legacy V100s running millions of such interactions.

Re: Ask HN: People who switched from GPT to their own models. How was it?

#6

I fine-tuned an LLM to do technical stuff. It works pretty darn good. What I actually discovered is that when evaluating LLMs, it is surprisingly difficult to evaluate them. And, also, that GPT 4 isn't that great, in general.

Which base model did you use and what methodologies you used?

Re: Ask HN: People who switched from GPT to their own models. How was it?

#9

I fine-tuned an LLM to do technical stuff. It works pretty darn good. What I actually discovered is that when evaluating LLMs, it is surprisingly difficult to evaluate them. And, also, that GPT 4 isn't that great, in general.

Could you provide more details on this matter? Specifically, I'm interested in knowing which base model you've utilized and the approach you've taken to fine-tune it. Your insights would be greatly appreciated and highly beneficial.
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