CrewAI + Groq Tutorial - Crash Course for Beginners

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AI Summary

Video Summary: Using Grok with Crew AI

• Introduction
  • Purpose: Teach how to use Grok with Crew AI for faster, cheaper Crews.
  • Outcome: Build a cold outreach Crew optimized for Grok.
  • Process: Merge CSV customer list and template email to create personalized emails.
  • Source code: Provided for free.
• What is Grok?
  • An AI startup with a new chip called Language Processing Unit (LPU).
  • LPU runs large language models faster and cheaper (e.g., Mixl model).
  • Grok is free for developers to use.
• Getting Started with Grok
  • Sign up at Gro Cloud.
  • Create an API key in the Gro Cloud playground.
  • Install Grok dependencies (pip install Lang chain grock or poetry add Lang chain grock).
• Updating Crews to Use Grok
  • Change default LLM from OpenAI to Grok in the code.
  • Set up the API key and specify the model (e.g., Mixl).
• Building a Cold Outreach Crew
  • Create agents for personalizing emails and ghostwriting.
  • Set up tasks for each agent.
  • Iterate through CSV to create tasks dynamically.
  • Set up the crew with a max RPM to avoid rate limiting by Grok.
• Running the Crew
  • Execute the crew to generate personalized emails.
  • Cost savings: Grok is free compared to costs associated with other services like ChatGPT.
• Tips for Using Grok with Crew AI
  • Set max iterations low to prevent agents from getting confused.
  • Use async execution cautiously to avoid rate limits.
  • Consider dynamic task generation to offload planning from Grok.
  • Start with Grok for testing due to speed and cost-effectiveness.
• Resources
  • Free source code and community for AI developers.
  • Additional tutorials on the channel for Crew AI.

Outline

1. Introduction
   • Teach Grok with Crew AI.
   • Build a cold outreach Crew.
   • Free source code.
2. Understanding Grok
   • AI startup with LPU.
   • Faster, cheaper language models.
   • Free for developers.
3. Setting Up Grok
   • Register on Gro Cloud.
   • Create API key.
   • Install dependencies.
4. Configuring Crews for Grok
   • Change default LLM to Grok.
   • Input API key and model choice.
5. Creating a Cold Outreach Crew
   • Develop agents for email personalization and ghostwriting.
   • Implement tasks for agents.
   • Dynamically generate tasks from CSV data.
   • Manage crew with max RPM setting.
6. Execution and Benefits
   • Run crew for personalized emails.
   • Highlight cost savings with Grok.
7. Best Practices
   • Keep max iterations low.
   • Use async execution with rate limits in mind.
   • Prefer dynamic task creation.
   • Start with Grok for initial testing.
8. Additional Resources
   • Access to free code and AI developer community.
   • More Crew AI content available on the channel.

https://github.com/bhancockio/automate-youtube-with-crewai/blob/main/tasks.py