LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Generate feedback on text outputs and improve them iteratively using the Self-Refine tool for language models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
self-refine has 821 stars on GitHub. It has been forked 71 times. self-refine is written mainly in Python. It has been in active development since 2023. self-refine is available under the Apache-2.0 license. Its main topics are chatgpt, few-shot-learning, gpt-35, gpt-4.
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
self-refine is an open-source project. It is released under the Apache-2.0 license.
Yes. self-refine is free and open source — you can use, modify and self-host it.
self-refine is available under the Apache-2.0 license.
self-refine is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/madaan-self-refine.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.