Google's Blueprint to Building Powerful Agents

In this video, I dive into Google's recent white paper on building agentic systems. Learn about the components of AI agents, the differences between agents and models, and key frameworks like React, Chain of Thought, and Tree of Thought. I also explain the importance of tools such as extensions, functions, and data stores, and how retrieval-augmented generation (RAG) is used to expand AI knowledge. LINKS: White paper: https://tinyurl.com/mr4yvhy4 Anthropic Blog: https://www.anthropic.com/research/building-effective-agents Agents Video: https://youtu.be/icRKf_Mvmt8 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Google's White Paper on Agentic Systems 00:24 Defining AI Agents 00:54 Components of an AI Agent 01:40 When to Use Agents vs. Workflows 02:38 Differences Between Agents and Models 04:32 Reasoning Frameworks for Agents 08:03 Tools for Enhancing Agent Capabilities 15:05 Enhancing Model Performance with Targeted Learning All Interesting Videos: Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z