-
Notifications
You must be signed in to change notification settings - Fork 178
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Question] Help in defining my use case #65
Comments
Hi, And using HuggingFacePipeline as the predictor (with some open-source model llama-3 for example). |
Hi , @Eladlev Thanks for your tips. After some-rethinking I need Argilla (human) annotator and HuggingFacePipeline predictor . |
This is the optimizer LLM (probably we should have put it under |
Hi @Eladlev , Thanks |
Hi, There also the prompt is an instruction prompt that is modified and there is a part of the user prompt which is given (the movie description). If you have any questions regarding the adjustment for your specific use case we can also iterate on it on AutoPrompt Discord channel |
Hi @Eladlev ,
First of all - Thank for your work . I am eager to evaluate your method for my case.
I want to use some open source model for some task and to tune a prompt for this model . I would like to generate some texts and annotate them as "Good" or "Bad" . I want to use also GPT-4 to learn what makes text "Good" and "Bad" to tune the prompt above.
What is my case in your examples here : https://github.com/Eladlev/AutoPrompt/blob/main/docs/examples.md
What model is llm and predictor llm for my case ?
The text was updated successfully, but these errors were encountered: