Building Agentic AI App with CrewAI
AI Summary
In this session, participants learned how to create a Content Generation Agent using generative AI frameworks. The session began with introductions and a brief overview of the course prerequisites and structure. The main content included an explanation of creating autonomous software agents capable of producing written content based on provided inputs.
Key points covered in the session:
- Overview of content generation and agentic AI using frameworks like CRE AI and LangChain.
- Detailed instructions on setting up the environment, including necessary libraries for Python development.
- Creation of two primary agents: a Senior Research Analyst tasked with conducting thorough internet research, and a Content Writer who transforms the findings into well-structured articles.
- Hands-on demonstration of coding, including defining tasks and roles, and implementing the agents in code.
- Use of external tools for searching the internet (Serper API) and for natural language processing (OpenAI’s GPT).
- The process of generating content was illustrated, highlighting the interactions between the research and writing agents.
- Overall, participants were encouraged to engage in the project, modify parameters, and explore the outputs generated by the agents as practical applications of the concepts taught.
The session concluded with an interactive Q&A where various queries about implementing the course content and developing similar projects were addressed.