llm-recipes
LLM Recipes
Introduction
LLM Recipes is a collection of projects and tools aimed at creating decision agents with various capabilities such as speech, vision, and text search. This repository includes different versions of the project, each with unique features and functionalities.
Installation
To get started with LLM Recipes, follow these steps:
- Clone the Repository:
git clone https://github.com/your-repo/llm-recipes.git cd llm-recipes - Set Up Environment:
- Follow the instructions in the clean-ubuntu-setup.md for a clean install of Ubuntu, Docker, and Nvidia requirements.
- For ChatUI setup, refer to ollama-open-webui.md.
- For Code CoPilot setup, refer to code-pair.md.
Usage
Detailed usage instructions for each project version can be found in the respective documentation links provided in the table below.
Projects
| Version | Concept | Status | Tech |
|---|---|---|---|
| v0.11 | Voice - Shopping Bot | In-progress | Python |
| v0.10 | Multi-modal Agents | In-progress | Python |
| v0.9 | NoteBook LLama | Complete | Python + TTS |
| v0.8 | Quantisation | Paused | llama.cpp |
| v0.7 | On-device Mobile | Paused | Android + TF lite |
| v0.6 | UI | Complete | Typescript - link |
| v0.5 | Indoor Maps + v0.4 | Paused | ROS2 |
| v0.4 | Image/Scene Recognition + v0.3 | Complete | llava/moondream |
| v0.3 | Speech Output + v0.2 | Complete | coqui tts + v1 |
| v0.2 | Speech Input + v0.1 | Complete | whisper + ffpmeg + v0 |
| v0.1 | Text Query + API Calls | Complete | mistral7B-v0.3 + ollama + RestAPI |
Base Setup
ChatUI
- Tools: ollama, open-webui, mistral-7B, docker
- Setup + Documentation: ollama-open-webui.md
Code CoPilot
- Tools: vscode, continue, ollama, mistral-7B
- Setup Document: code-pair.md
Tutorials
Extra
- Clean Install of Ubuntu + Docker + Nvidia Requirements
Applications
Reconnaissance with Drone
- Use drones to create real-time insights for warehouse management and home security.
Upcoming Challenges
Dependencies
- Python
- Docker
- TensorFlow Lite
- ROS2
- LLama.cpp
- Coqui TTS
- Whisper
- Mistral7B
- Ollama
- Typescript
FAQs
- Q: How do I contribute to the project?
- A: Please refer to the Contributing Guidelines.
- Q: What license is the project under?
- A: This project is licensed under the MIT License. See the LICENSE file for details.
Screenshots
Versioning
We use SemVer for versioning. For the versions available, see the tags on this repository.
Acknowledgments
- Thanks to the contributors and maintainers of the third-party libraries used in this project.
Contact
For any questions or support, please contact your-email@example.com or join our Discord Server.
License
This project is licensed under the MIT License - see the LICENSE file for details.