ai-agent

Improve LLMs with Awesome-LLM-On-Policy-Distillation

Name: Improve LLMs with Awesome-LLM-On-Policy-Distillation
Author: nick7nlp

Get curated papers and resources on On-Policy Distillation for Large Language Models, ideal for startup founders in AI.

452 stars8 forksPythonQuality 9/10Updated 7/17/2026100% free · open source

What it does

Awesome-LLM-On-Policy-Distillation provides a curated collection of papers and resources on On-Policy Distillation for Large Language Models, helping startup founders in AI stay updated on the latest research and techniques.

Install / run

Clone the repository using the command `git clone https://github.com/nick7nlp/Awesome-LLM-On-Policy-Distillation.git`

When to use it

•When researching state-of-the-art methods for large language model training
•When looking for resources to implement on-policy distillation in a startup project
•When needing a comprehensive overview of existing research on on-policy distillation for large language models

Quick start

1Browse the `README.md` file to understand the structure and content of the repository
2Explore the curated list of papers and resources in the `papers` and `resources` sections
3Check the `contributing.md` file to learn how to contribute to the repository
4Use the repository's issue tracker to ask questions or request new resources
5Familiarize yourself with the repository's license and usage guidelines in the `LICENSE` file

Ready-to-paste prompt

No specific prompt is required as this tool is a collection of resources, but you can start by exploring the repository and looking for papers related to 'on-policy distillation' and 'large language models'

Heads up: This repository is a curated collection of resources and does not require any specific API keys or paid dependencies, but it does require a basic understanding of Git and Markdown to navigate and contribute to the repository

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