LLM Tool Orchestration Explained (2025) | From Function Calling to Autonomous AI Agents скачать в хорошем качестве

LLM Tool Orchestration Explained (2025) | From Function Calling to Autonomous AI Agents

In this deep-dive masterclass, we cover everything you need to know about LLM tool orchestration – from the basics of function calling that let models like GPT-4o or Gemini act in the real world, to advanced reasoning frameworks such as ReAct that power self-correcting autonomous agents. Perfect for developers, data scientists, product managers and tech enthusiasts who want to understand how today’s most sophisticated AI systems are architected – and where they’re headed next. 🔵 TIMESTAMPS 0:00 – Intro: The Limitations of LLMs (The Glass Box) 1:15 – What Is LLM Tool Use? (Information • Action • Computation Tools) 3:45 – LLM Orchestration Explained (The AI Conductor) 5:30 – How Function Calling Works (Step-by-Step) 8:10 – Agentic Reasoning: ReAct vs. Plan-and-Execute 11:00 – Case Study 1: The AI Data Analyst 12:15 – Case Study 2: E-Commerce Multi-Agent System 13:40 – The Future: Autonomous Tool Generation & Self-Improving Agents 15:10 – The Responsibility: Ethics & Security Guardrails Keywords (include in tags): LLM, AI Agents, Tool Orchestration, Function Calling, ReAct Framework, LangChain, Autonomous Agents, Artificial Intelligence, Machine Learning, Tech Explained, Software Engineering, API #llm #aiagents #ToolOrchestration #FunctionCalling #reactframework #langchain #autonomousagents #artificialintelligence #machinelearning #techexplained #api