How to connect CrewAI to different LLMs (GPT4o, Groq, Llama3, Ollama) - Tutorial & LLM comparison

I tested CrewAI with different LLMs (GPT4o, Groq, Llama3, Ollama) - FULL walkthrough tutorial & LLM comparison In this tutorial, I will show you how to connect crewAI to different LLMs both local and in the cloud. I will then do a full performance and cost comparison for all the tested models. The tested LLMs are ChatGPT-3.5-turbo, ChatGPT-4-turbo, ChatGPT-4o, Groq with Meta’s Llama3 and Mixtral, as well as Llama3 locally with Ollama. I will do a technology review for all the technologies used in the video and walk you through setting up the crew from cloning Joao Moura’s crewai-examples repository, environment and dependency setup to changing the code to use the different LLM backends. I will then run the code for the different LLMs and compare them in terms of runtime, cost and results Links: https://www.crewai.com/ CrewAI website https://github.com/joaomdmoura/crewAI crewAI Github Repo https://github.com/joaomdmoura/crewAI-examples/tree/main crewAI Examples Repo https://console.groq.com/ Groq API key https://ollama.com/ Ollama https://platform.openai.com/docs/overview OpenAI Platform (for OpenAI API key) https://serper.dev/ SerperDev API key My previous CrewAI tutorials: https://www.youtube.com/watch?v=w0yJKFyQ2A8 general CrewAI tutorial https://www.youtube.com/watch?v=IacRMYTm-Is CrewAI instagram Crew Chapters 00:00 - Intro 01:08 - Technology Review: LLMs, CrewAI, AI Agents 03:46 - Set up the Crew: Clone the repo and change some code 12:20 - Set up environment and Dependencies, add API keys 17:15 - Comparing OpenAI LLMs (GPT-3.5, GPT-4, GPT-4o) 22:56 - Groq (with Llama3 and Mixtral) 29:40 - Run Local LLMs with Ollama 34:06 - Final Results & Cost comparison