A Brief History of AI and AI Agents - From Language Models to Multi-Agent Systems

Explore a comprehensive 51-minute tutorial that chronicles the evolution of artificial intelligence over the past 3.5 years, designed for both educated audiences and AI enthusiasts. Delve into the progression from Large Language Models (LLMs) to advanced function calling, memory capabilities, and reasoning algorithms like Chain of Thought. Learn about the emergence of AI Agents, including LLMs and Vision Language Models (VLMs), and understand how multi-AI agent networks (MLAS) are configured for complex tasks across medicine and finance. Master key concepts through visual flowcharts covering RAG and vector spaces, ICL and prompt engineering, AI agent communication protocols, swarm intelligence, and test-time augmentation. Examine current AI system limitations, explore the new AI paradigm, and understand task-specific multi-AI agent design. Gain clarity through detailed definitions of AI terms and insights into AI self-learning capabilities, with access to hundreds of supplementary AI video explanations for deeper understanding.