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Re:Ask HN: People who switched from GPT to their own models.... by kcorbitt on Tuesday February 27, 2024 @01:15AM (#39520705)
Obviously talking my own book here, but we've helped dozens of customers make the transition from prompted GPT-4 or GPT-3.5 to their own fine-tuned models at OpenPipe.

The most common reaction I get is "wow, I didn't expect that to work so well with so little effort". For most tasks, a fine-tuned Mistral 7B will consistently outperform GPT-3.5 at a fraction of the cost, and for some use cases will even match or outperform GPT-4 (particularly for narrower tasks like classification, information extraction, summarization -- but a lot of folks have that kind of task). Some aggregate stats are in our blog: https://openpipe.ai/blog/mistral-7b-fine-tune-optimized

Re:Ask HN: People who switched from GPT to their own models.... by ilaksh on Tuesday February 27, 2024 @02:14AM (#39521055)
And those dozens are all doing narrow tasks like summarization right?
Re:Ask HN: People who switched from GPT to their own models.... by jonathanleane on Tuesday February 27, 2024 @01:31AM (#39520787)
Have you started migrating anyone over to Mistral Large yet?
Re:Ask HN: People who switched from GPT to their own models.... by kcorbitt on Tuesday February 27, 2024 @01:37AM (#39520819)
I don't think they've released a fine-tuning API, but we'll definitely support it once they do!
Re:Ask HN: People who switched from GPT to their own models.... by ashu1461 on Tuesday February 27, 2024 @10:33AM (#39525256)
Were their any tasks like intent / entity detection etc ? - I guess classification / information extraction covers that, but still anything more specific ?