Functionary - Best Open-Source Alternative to GPT-4 for Tool Use - Install Locally
AI Summary
Summary of Video Transcript
- Introduction to installing the model “Functionary” on a local system.
- Functionary is a tool for AI applications to call software or APIs using natural language prompts.
- It is based on the language model Llama 3.18 billion.
- The model can execute functions in parallel or serially and understands their outputs.
- Function definitions are provided as JSON schema objects.
- Functionary supports intelligent parallel tool use and retrieval-augmented generation.
- It can decide when to use function calls or provide normal chat responses.
- The model is an open-source alternative to GPT-4.
- The video includes a mention of Mast Compute for sponsoring the VM and GPU used in the video.
- Installation instructions for Functionary on Ubuntu 22.04 with an NVIDIA RTX A6000 GPU.
- The process involves creating a conda environment, cloning a GitHub repo, installing PyTorch, and other requirements.
- The model is served using VLM (Virtual Large Language Models).
- The local VLM server is started with the Functionary small model.
- The model is accessible through an API, compatible with OpenAI’s API.
- Example of using the model with Python code to convert natural language text into a function call.
- Functionary converts function definitions to TypeScript definitions and uses them as system prompts.
- The model is intelligent enough to select from multiple functions based on natural language text.
- The video concludes with an endorsement of Functionary as a quality open-source model for function calling.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the summary.
- The video description may contain links to Mast Compute and the model card, but these were not included in the transcript provided.