4 ms·
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 Op
by kcorbitt 3y ago
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 https://openpipe.ai/blog/mistral-7b-fine-tune-optimized
- jonathanleane 3y agoHave you started migrating anyone over to Mistral Large yet?
- kcorbitt 3y agoI don't think they've released a fine-tuning API, but we'll definitely support it once they do!
- ilaksh 3y agoAnd those dozens are all doing narrow tasks like summarization right?
- notso411 3y ago[dead]
- ashu1461 3y agoWere their any tasks like intent / entity detection etc ? - I guess classification / information extraction covers that, but still anything more specific ?