Local Function Calling with Llama3 using Ollama and Phidata

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AI Summary

Summary of Video Transcript

Introduction to Fi Data

• Fi Data is a library designed to enhance raw LLMs (Large Language Models) by adding memory, knowledge, and tools.
• These components are crucial for creating effective AI assistants and chatbots.

Components of an AI Assistant

1. Memory: Enables long-term conversation tracking, including chat history, summaries, entities, and facts.
2. Knowledge: Incorporates various knowledge bases such as PDFs, HTML, JSON, docs, SQL, etc., into vector databases for semantic understanding.
3. Tools: Allows the integration of functionalities like web searches, API calls, sending emails, and running queries.

Implementation with Fi Data

• Fi Data simplifies the process of building AI assistants by providing a straightforward codebase.
• The library allows for easy integration of memory, knowledge, and tools with LLMs.

Example Usage

• The video demonstrates how to use Fi Data with an open-source LLM called AMA.
• It shows the process of setting up the environment, cloning the GitHub repository, and running examples from a cookbook directory.

GitHub Repository and Installation

• The GitHub repository for Fi Data is used for cloning and testing examples.
• The installation process involves creating a new environment and installing requirements from a requirements.txt file.

Streamlit Application

• A Streamlit application is used to showcase the implementation of Fi Data with an AI assistant.
• The app allows users to select LLM models and tools, and interact with the AI assistant.

Running the Assistant

• The assistant is run using the streamlit run app.py command.
• The video provides a demonstration of querying the AI assistant for the stock price of Tesla.

Conclusion

• The video concludes with an invitation to watch more videos on Fi Data, subscribe to the channel, and support the creator’s efforts.

Detailed Instructions and URLs

• No specific CLI commands, website URLs, or detailed instructions were provided in the summary section.