tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
This project provides the tools and data to create a custom AI assistant that can understand and follow instructions. You supply a collection of tasks or questions, and the system generates detailed answers, summaries, or other text-based responses. It's designed for AI researchers or developers who want to experiment with or build upon instruction-following language models.
30,267 stars. No commits in the last 6 months.
Use this if you are a researcher looking to fine-tune a language model for specific instruction-following tasks or generate diverse instruction-following datasets.
Not ideal if you need a production-ready, safe, or commercially licensed AI assistant for immediate deployment to end-users.
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Language
Python
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Apache-2.0
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Last pushed
Jul 17, 2024
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