declare-lab/flan-alpaca
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.
This project helps machine learning engineers and researchers fine-tune existing language models to better follow instructions. You input a pre-trained language model and a dataset of instructions, and it outputs a new, fine-tuned model that can generate more accurate and contextually relevant responses to prompts. It's designed for those who want to create specialized instruction-following models.
357 stars. No commits in the last 6 months.
Use this if you need to adapt a large language model to perform specific tasks or generate particular types of text based on detailed instructions.
Not ideal if you're looking for a ready-to-use application and don't have experience with model training or fine-tuning.
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357
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38
Language
Python
License
Apache-2.0
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Last pushed
Jul 04, 2023
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