DAY 1 - INTRODUCTION TO AGENTIC AI

About this video

• Video Title: DAY 1 - INTRODUCTION TO AGENTIC AI
• Channel: ZeroToSiva
• Speakers: Shiva (Speaker)
• Duration: 01:43:16

Overview

This video serves as an introduction to Agentic AI, explaining fundamental concepts such as Large Language Models (LLMs), transformers, and the difference between GPT and ChatGPT. The speaker emphasizes the importance of understanding agents, their tools, and how they interact with LLMs. The video also outlines the course curriculum, which will cover building multi-agentic applications using various frameworks like Langchain, Langgraph, LlamaIndex, CrewAI, Autogen, and Azure OpenAI, with a focus on practical, code-based learning.

Key takeaways

• Understanding LLMs and AI: The video clarifies the distinction between AI, Machine Learning, Deep Learning, Generative AI, and Agentic AI, defining LLMs as pre-trained transformer models capable of generating new content.
• Agents and Tools: Agents are described as pieces of code that act as assistants, utilizing tools (functions or APIs) to perform tasks. They interact with LLMs to reason and decide which tool to use.
• Distinction between GPT and ChatGPT: GPT is identified as the underlying model, while ChatGPT is a web application with agents that use the GPT model internally.
• Course Structure and Tools: The course will focus on practical application development using Python and frameworks like Langchain, Langgraph, LlamaIndex, CrewAI, and Autogen, with an introduction to Azure OpenAI for deploying AI models.
• Importance of Reasoning vs. Knowledge: In agentic applications, the focus is on leveraging the reasoning capabilities of LLMs rather than their pre-trained knowledge, especially when dealing with proprietary data.