Papers and Datasets on Instruction Tuning and Following. ✨✨✨
Read papers and access datasets focused on improving instruction following in AI 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 anytimePapers and Datasets on Instruction Tuning and Following. ✨✨✨
awesome-instruction-learning has 512 stars on GitHub. It has been forked 20 times. awesome-instruction-learning is written mainly in Python. It has been in active development since 2023. awesome-instruction-learning is available under the MIT license. Its main topics are awesome-list, datasets, in-context-learning, instruction.
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
awesome-instruction-learning is an open-source project. It is released under the MIT license.
Yes. awesome-instruction-learning is free and open source — you can use, modify and self-host it.
awesome-instruction-learning is available under the MIT license.
awesome-instruction-learning is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/renzelou-awesome-instruction-learning.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.