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Video Library

Types of AI Agents: Autonomous Functions & Real-World Applications

 Can a drone deliver packages safely and efficiently? 🤖 Martin breaks down the 5 types of AI agents—from reflex to learning models—and their role in robotics, decision-making, and automation. Learn how goal-driven and utility-based AI adapt to workflows and complex environments. 

Generative vs Agentic AI: Shaping the Future of AI Collaboration

 What’s the difference between generative AI and agentic AI? 🤔 Martin explains how generative AI powers content creation and image generation, while agentic AI uses LLMs and chain of thought reasoning for proactive tasks like personal shopping and conference planning. Discover the future of intelligent AI collaboration!  

MCP vs API: Simplifying AI Agent Integration with External Data

 
MCP or API: Which transforms AI integration? Martin explains how the Model Context Protocol (MCP) revolutionizes AI agents by enabling dynamic discovery, tool execution, and seamless external data retrieval. Discover how MCP simplifies LLM workflows and outpaces traditional APIs. 🚀 

Small vs. Large AI Models: Trade-offs & Use Cases Explained

 Big or small? 🤖 Martin explores trade-offs between small AI models like Mistral 7B and massive LLMs with billions of parameters. Learn how benchmarks like MMLU and use cases like on-device AI and multilingual translation are reshaping AI innovation with smarter, efficient models! 

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

  How do AI chatbots deliver better responses? 🤔 Martin explains RAG 🛠️, fine-tuning 🎯, and prompt engineering ✏️—methods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! 🚀 

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