Welcome to the Awesome LLM repository, a curated list of resources, tools, libraries, and tutorials for working with Large Language Models (LLMs). This collection aims to help researchers, developers, and enthusiasts navigate the landscape of LLMs and stay up-to-date with the latest advancements.
- Introduction
- Why LLMs?
- Getting Started
- Libraries and Frameworks
- Datasets
- Tools and Utilities
- Tutorials and Courses
- Research Papers
- Projects and Applications
- Community and Discussions
- Contributing
- License
Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by enabling unprecedented capabilities in understanding and generating human language. This repository gathers the best resources to help you leverage LLMs for various applications.
LLMs are powerful because they:
- Can understand and generate human-like text.
- Provide state-of-the-art performance on many NLP tasks.
- Enable new applications in areas like chatbots, content creation, and language translation.
TBD
- Deep Learning for NLP
- Transformers and Attention Mechanisms
- Fine-tuning LLMs
- Generating Synthetic Data with LLM's For Fine-tuning
- Using LLMs To Build a Code Generation Dataset
- Building an LLM Evaluation Tool With Syntehtic Data Generation in 20 mins
- Llama 3's Synthetic Code Generation: Developing an AI-Powered Coding Environment