What is it about Assistants and Fine-tuning?

[7wafer7]

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

[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).

[7wafer7]

@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, I got the documentation right. But another question is, can I use trained “Assistants”, which I just tested at first and realized that at some points the bot does not respond the way I need, I can use “Fine-tuning” to train the bot?

[TonyAIChamp]

1. You need to clarify what exactly you mean by “trained assistants”, because there is no such generally used terminology (at least yet).
2. Assistants in general are in beta and it is hard to have them answer the way you want.
3. You can fine-tune a model, not the bot.

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

[7wafer7]

@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

Oh. I used the translator on the page, and forgot to turn it off. That was funny.

[7wafer7]

@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

[7wafer7]

@TonyAIChamp

1. You can fine-tune a model, not the bot.

I understood everything. Thanks a lot for the reply

[TonyAIChamp]

Happy it helped Good like on your jouney!

[_j]

Written under 20 hours ago…

What does it mean to limit tokens for fine tuning?

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 refining the weights that are used in token production, and using a very large training file that has examples of how an AI should respond. A fine-tune model is only available within an API organization that created it. GPTs and Assistants, instead are agents. They can operate more autonomously, making multiple calls to AI models, and have bui…

[pmilitaodasilva]

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.

[gobi1]

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?