<ul><li>The AI industry is evolving rapidly, with the development of Generative AI being a key focus.</li><li>The process of building AI Agents has progressed from simple chatbots to advanced agents capable of handling various tasks.</li><li>To create an AI Agent, an API is used to interact with a Language Model (LLM) like OpenAI, Gemini, etc.</li><li>Python packages such as Agno, Langchain, and CrewAI facilitate the creation of AI Agents.</li><li>Agents are structured with components like model, description, instructions, expected output, and tools for real-world interaction.</li><li>Tools enhance AI Agents' capabilities, from generating content to summarizing YouTube videos.</li><li>Reasoning and Knowledge tools allow agents to analyze queries and retrieve information from external sources.</li><li>Agents with memory can personalize responses based on past interactions, learning user preferences over time.</li><li>Building AI Agents step by step with packages like Agno and progressing to advanced agents offers valuable hands-on learning.</li><li>Continuous exploration and experimentation with AI Agents can lead to innovative applications and solutions.</li></ul>

Agentic AI 101: Starting Your Journey Building AI Agents

Discover more