Automate your Life with AI Agents (EASY CrewAI Tutorial)

Infinite Codes · Beginner ·🤖 AI Agents & Automation ·2y ago
Automate your Life with AI Agents (EASY CrewAI Tutorial) [edited Re-Upload] In this video, I will show you the power of AI Agents by introducing you to the powerful new tool Crew AI. We will start by talking about the current limitations of ChatGPT to then see how CrewAI solves many of these limitations by creating crews of autonomous AI Agents. The second half of the video is a full CrewAI tutorial. We will look at the Python code together and draft AI Agent and Task descriptions together. In the very end we will run the crew and look at the results together. If you have foundational Python skills, are able to clone a repository from github and know how to use ChatGPT, you should be able to follow along. Resources: CrewAI website: https://www.crewai.com/ Joao’s CrewAI github repo: https://github.com/joaomdmoura/crewAI Example crews and templates: https://github.com/joaomdmoura/crewAI-examples To follow along just clone the crewai-examples repo and open up the folder for the crew of choice. You will need an OpenAI API key (https://platform.openai.com/) and a SerperDev API key (https://serper.dev/) to run this crew. To install crewAI & tools: pip install crewai pip install 'crewai[tools]' Use Artificial Intelligence and AI Agents to automate whatever you can think of! Chapters: 00:00 - Limitations of ChatGPT 00:58 - How CrewAI takes ChatGPT to the next level 02:38 - Who can use CrewAI? 03:34 - Example Crews 05:29 - How does CrewAI work and types of crews (hierarchical vs sequential) 06:48 - Setting up an example crew 09:00 - Looking at the code together 16:44 - Running the crew (command line) 17:56 - Looking at the results 20:04 - Conclusion & Takeaways
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Chapters (10)

Limitations of ChatGPT
0:58 How CrewAI takes ChatGPT to the next level
2:38 Who can use CrewAI?
3:34 Example Crews
5:29 How does CrewAI work and types of crews (hierarchical vs sequential)
6:48 Setting up an example crew
9:00 Looking at the code together
16:44 Running the crew (command line)
17:56 Looking at the results
20:04 Conclusion & Takeaways
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