What is the difference between Assistants and Fine-tuning? And can I train the Assistants model first and then use Fine-tuning?

Assistants is a high-level agent framework API by OpenAI. Basically adds some functionality and behavior on top of the OpenAI API. Fine-tuning is the process of giving a model additional training related to how it should behave (but not what it needs to know).

[image] TonyAIChamp: Assistants is a high-level agent framework API by OpenAI. Basically adds some functionality and behavior on top of the OpenAI API. Fine-tuning is the process of giving a model additional training related to how it should behave (but not what it needs to know). Well, okay…

You need to clarify what exactly you mean by “trained assistants”, because there is no such generally used terminology (at least yet). Assistants in general are in beta and it is hard to have them answer the way you want. You can fine-tune a model, not the bot. P.S. Man, you freaked me out!b When …

[image] TonyAIChamp: P.S. Man, you freaked me out!b When I got a notification about your answer with quote in russian, I thought I started to speak russian in the forum :slight_smile: Oh. I used the translator on the page, and forgot to turn it off. That was funny. :upside_down_face:

[image] TonyAIChamp: You need to clarify what exactly you mean by “trained assistants”, because there is no such generally used terminology (at least yet). Transmit your data in such a way that the model is based on the information I provided when responding

[image] TonyAIChamp: You can fine-tune a model, not the bot. I understood everything. Thanks a lot for the reply

Happy it helped :slight_smile: Good like on your jouney!

Written under 20 hours ago… [image] What does it mean to limit tokens for fine tuning? Documentation One has to make very clear a conflation that newcomers have made. Fine-tune is a machine-learning technique on API for producing your own AI models, by refini…

Hey, I was wondering if you could share what your solution was. Im looking to train a gpt model on industry specific data and get specific behaviour on replies. I was thinking about it the same way as you, first train the assistants on the data then use fine tuning to get the replies I want.

Does the assistants feature use both fine-tuning and RAG under the hood, intelligently as appropriate? So basically does it make it less necessary to implement fine-tuning and RAG from scratch?

What is it about Assistants and Fine-tuning?

Documentation

_j December 19, 2023, 6:44am 9

Written under 20 hours ago…

Topic		Replies	Views
New Assistant feature and Fine-tuning API	4	3914	February 5, 2024
Why does fine-tuning not work but Assistants do? API	6	394	June 5, 2024
Finetuning of an Assistant API Community api	2	1911	December 29, 2023
Fine-tuning with Contextual Information Beyond Prompt-Response Pairs: Possible? API question , fine-tuning , beginner	11	2091	June 29, 2024
Can I fine tune without specifying an answer through the "assistant" role? API	5	1458	October 25, 2023

What is it about Assistants and Fine-tuning?

Related topics