How To Connect Llama3 to CrewAI [Groq + Ollama]

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AI Summary

Video Summary: Using Llama 3 with Crew AI

Introduction

• Topic: Using Llama 3 with Crew AI for free cruise management.
• Content: The video covers three major parts:
  1. Introduction to Llama 3 and its comparison with other LLMs.
  2. Running a crew using Llama 3 locally on your computer.
  3. Updating the crew to work with Gro and using the 7 billion parameter version of Llama 3.

Part 1: Introduction to Llama 3

• What is Llama 3: A new LLM that is smart and comparable to Chat GPT-4.
• Live Demo: Demonstrates Llama 3’s capabilities.
• Comparison: Llama 3 has an 8,000 token context window and is more cooperative than its predecessor.
• Versions: Two versions of Llama 3 are available - 8 billion and 70 billion parameters.

Part 2: Running a Crew with Llama 3

• Local Setup: Using Ollama to run Llama 3 on your computer.
• Crew Example: A crew that generates Instagram posts for advertising a smart thermos.
• Capabilities: The crew writes text, creates catchy taglines, and generates Mid Journey descriptions for images.
• Image Generation: Shows futuristic thermoses images created by the crew.
• Crew Builder: The crew was built by the creator of CreAI, Xiao, and formatted for the tutorial.

Part 3: Updating Crew for Gro

• Integration: Using Gro plus Llama 3 for faster crew operation.
• Access to Larger Model: With Gro, you can access the 7 billion parameter version of Llama 3.
• Performance: Demonstrates the speed of Llama 3 using Gro, showing faster token generation compared to Chat GPT-4.
• Local Setup: Instructions on downloading and setting up Ollama on your computer.
• Custom LLM: Creating a custom LLM for Crew AI using a model file and Ollama commands.
• Environment Setup: Using Poetry for dependency management and setting up a Python virtual environment.

Additional Information

• Source Code: The source code for the tutorial is available for free.
• Community Support: A school community is available for troubleshooting and support.
• Rate Limiting: Discusses rate limiting when using Gro and how to adjust requests per minute to avoid it.

Conclusion

• Results: The crew successfully generates Instagram copy and Mid Journey image descriptions.
• Feedback: Recommends using Llama 3 for smaller tasks and the 70 billion parameter model for complex tasks.
• Next Steps: Encourages viewers to explore more AI content on the channel.