Agents, RAG, and Reasoning Models

This is the second of a series of two videos on AI Agents. In this video, we learn the architecture of agents, the agentic loop, memory, tools, planning, and much more! Including how to go from the static (automation) to the dynamic (autonomy). First video - Strengths and Weaknesses of LLMs: https://www.youtube.com/watch?v=gGWufx8DTAo Code labs: RAG Wikipedia Agent https://colab.research.google.com/github/luisguiserrano/llm-agentic-workshop/blob/main/LAB_1_RAG_Wikipedia.ipynb Calculator Agent https://colab.research.google.com/github/luisguiserrano/llm-agentic-workshop/blob/main/LAB_2_Calculator_App.ipynb Math or Fact Agent https://colab.research.google.com/github/luisguiserrano/llm-agentic-workshop/blob/main/LAB_3_Math_or_Fact.ipynb