Welcome to the LLM Playground repository! This collection is dedicated to showcasing the power of Large Language Models (LLMs) through Google Colab notebooks. Explore a range of projects related to LLMs, including but not limited to those utilizing langchain and similar technologies.
LangChain is a tool for developers that enables the creation of chains using large language models (LLMs). These chains can generate text based on provided prompts. LangChain offers versatility in constructing different types of chains and can be integrated with existing LangChain constructs. Each step in the chain requires specific prompts, and input data must be formatted appropriately for optimal outputs. LangChain is also useful for feeding large documents into LLMs.
For more detailed information, refer to the LangChain documentation.
Explore a diverse range of projects in this repository, from hosting notebooks as a Flask API to intriguing applications of LangChain. You're also encouraged to contribute your own innovative projects related to LLMs.
Thank you for considering contributing to the LLM Playground repository! Whether it's a bug fix, feature enhancement, or a new project, your help is greatly appreciated.
To get started, please read our Contribution Guidelines for detailed information on how to:
- Submit issues
- Propose new projects
- Make pull requests
- Report bugs
- Suggest enhancements
We encourage contributions from everyone, regardless of your level of expertise. Together, let's create a welcoming community around LLM projects!
Happy coding!