Curated-Awesome-Lists / awesome-llms-fine-tuningLinks
Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!
☆499Updated last year
Alternatives and similar repositories for awesome-llms-fine-tuning
Users that are interested in awesome-llms-fine-tuning are comparing it to the libraries listed below
Sorting:
- A curated list of retrieval-augmented generation (RAG) in large language models☆354Updated last month
- ☆364Updated 4 months ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,510Updated 7 months ago
- ☆722Updated last week
- This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)☆343Updated last year
- LLM (Large Language Model) FineTuning☆566Updated 9 months ago
- Collection of resources for finetuning Large Language Models (LLMs).☆110Updated last year
- Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,A…☆439Updated last year
- A category wise collection of 200+ LLM survey papers.☆266Updated 9 months ago
- RAG-VectorDB-Embedings-LlamaIndex-Langchain☆277Updated 3 months ago
- A collection of benchmarks and datasets for evaluating LLM.☆541Updated last year
- Curated list of weekly published LLM papers☆197Updated 3 months ago
- 😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.☆927Updated 2 months ago
- The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.☆185Updated 8 months ago
- Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models☆1,302Updated 10 months ago
- Summarize existing representative LLMs text datasets.☆1,421Updated 3 months ago
- This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pi…☆562Updated 3 months ago
- Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard a…☆2,033Updated last month
- 🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.☆683Updated 2 weeks ago
- ☆1,338Updated 10 months ago
- Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.☆1,398Updated 3 months ago
- [EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation☆310Updated last year
- LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.☆197Updated last year
- Framework for enhancing LLMs for RAG tasks using fine-tuning.☆763Updated last month
- Build datasets using natural language☆559Updated 4 months ago
- Best practices for distilling large language models.☆600Updated last year
- Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques☆358Updated 7 months ago
- ☆509Updated 5 months ago
- A Deep Research agent from scratch☆214Updated 8 months ago
- A straightforward method for training your LLM, from downloading data to generating text.☆504Updated 5 months ago