Improve language models by training them with external information using specially created datasets and measuring their performance.
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 anytimeFramework for enhancing LLMs for RAG tasks using fine-tuning.
RAG-FiT has 769 stars on GitHub. It has been forked 62 times. RAG-FiT is written mainly in Python. It has been in active development since 2024. RAG-FiT is available under the Apache-2.0 license. Its main topics are evaluation, fine-tuning, information-retrieval, llm.
What is RAG-FiT?
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Is RAG-FiT open source?
RAG-FiT is an open-source project. It is released under the Apache-2.0 license.
Is RAG-FiT free?
Yes. RAG-FiT is free and open source — you can use, modify and self-host it.
What license does RAG-FiT use?
RAG-FiT is available under the Apache-2.0 license.
What language is RAG-FiT written in?
RAG-FiT is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/intellabs-rag-fit.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.