Large Action Models Explained: AI That Acts, Not Just Talks! скачать в хорошем качестве

Large Action Models Explained: AI That Acts, Not Just Talks!

Large Action Models (LAMs) are transforming AI by combining the language capabilities of LLMs like GPT-4 with action-taking abilities. In this video, we’ll break down how LAMs differ from traditional Large Language Models, enabling them to not only understand instructions but perform complex, real-world tasks autonomously. Discover the core components of LAM architecture, from decision-making layers to task execution and security protocols. We’ll also explore practical applications like workflow automation, customer support, and data management, and why LAMs represent the next frontier in AI-driven productivity. 0:00 – Introduction: From Large Language Models to Large Action Models 0:48 – LLMs vs. LAMs: Understanding the evolution from language to action 1:45 – Neuro-Symbolic AI: How LAMs combine neural networks and symbolic reasoning 1:55 – Goal-Oriented Task Execution: Automating complex workflows with LAMs 2:28 – UI Flow Data: Learning from user interaction for more effective actions 2:54 – Privacy and Security: Ensuring safe data handling and action control in LAMs 3:12 – LAMs vs. AI Agents: Differences between traditional AI agents and LAMs 4:02 – LAM Architecture: Layers of LAMs from understanding to execution 5:39 – Conclusion: The potential impact of LAMs on real-world automation   / bytemonk      • System Design Interview Basics      • System Design Questions      • LLM      • Machine Learning Basics      • Microservices      • Emerging Tech   AWS Certification: AWS Certified Cloud Practioner:    • How to Pass AWS Certified Cloud Practition...   AWS Certified Solution Architect Associate:    • How to Pass AWS Certified Solution Archite...   AWS Certified Solution Architect Professional:    • How to Pass AWS Certified Solution Archite...   #systemdesign #payments #paypal