Llama 3 8B - BIG Step for Local AI Agents! - Full Tutorial (Build Your Own Tools)
AI Summary
- Introduction to AI agent tools
- First tool: Search Google
- Example query: “llama 3 human eval”
- Scraped URLs from AI meta and The Verge added to vault
- Using the vault
- Content from web pages embedded in vault
- Search within vault using terminal
- Using frames look in W
- Query: Number of tokens llama 3 was trained on
- Answer: Llama 3 trained on 15 trillion tokens
- Email sending tool
- Sends email with information from vault
- Explanation of code setup
- Functions created: send email, search Google, check context
- Adding a new tool to the system
- Chat function and intelligent response
- System message setup for search Google
- User input triggers function calls with specific format
- AI model (llama 3) follows instructions deterministically
- Function call execution
- AI system prepares function call based on user input
- Parse function call function detects and executes instructions
- Search Google function scrapes URLs and adds to context
- Adding a new function: Write to notes
- Updates system message to include new function
- Adds logic to chat function for new tool
- Testing the system
- Finds email address and writes to notes
- Functionality confirmed with test
- Conclusion
- Impressed with llama 3 model’s responsiveness
- Upcoming video featuring Gro and Llama 370b model
- Access to full code available for channel members