What Is Quantization? | Quantization Explained | AI Model Quantization | #Shorts | #Simplilearn
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In this video by Simplilearn, you'll learn what AI Quantization is and why it's one of the most important techniques for optimizing Large Language Models (LLMs) and deep learning models. Discover how quantization reduces model size, speeds up inference, lowers memory usage, and enables AI models to run efficiently on edge devices, smartphones, and GPUs—all without significantly impacting accuracy.
Whether you're an AI beginner, machine learning enthusiast, or an aspiring AI engineer, this quick YouTube Short explains the concept of model quantization in a simple and easy-to-understand way."
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➡️ About Advanced Executive Program In Applied Generative AI
This Applied Generative AI course equips you with the skills to design, build, and deploy intelligent AI applications for real-world business challenges. Learn to develop AI agents, build RAG-powered applications, and orchestrate intelligent workflows using the latest AI technologies, including LLMs, MCP, Multi-Agent Systems, and LLMOps.
Key Features:
✅ Curriculum vetted by IITM Pravartak, Technology Innovation Hub of IIT Madras
✅ Attend masterclasses on AI innovation by IITM Pravartak faculty
✅ Opportunity to attend a 2-day campus immersion at IIT Madras Research Park
✅ 90+ live demonstrations, coding exercises, guided practices, industry use cases, and hands-on labs
✅ Access official Microsoft learning content and earn Microsoft Learn Certificates in Azure AI and Agentic AI
✅ Complete 10 real-world AI projects, including a capstone, across Tech, Finance, Healthcare & Banking
✅ Gain practical experience with 29+ industry-leading tools, including Claude, OpenClaw, LangChain, LangGraph, CrewAI, AutoGen, Streamlit, FAISS, and Azure AI
✅ Live workshop series on GenAI and Agentic AI covering emerging topics and tools (such as Claude, Openclaw and more) for builders and business professionals
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Skills Covered
✅ Agentic AI Frameworks
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✅ Autonomous AI Systems
✅ Vector Databases
✅ Enterprise Compliance
✅ Agent Orchestration
✅ Retrieval Augmented Generation
✅ LLMOps Evaluation and Monitoring
✅ Prompt Engineering
✅ Tool Integration
✅ Observability Setup
✅ MultiAgent Systems
✅ LLM Application Development
✅ AI Workflow Design
✅ AI Governance
✅ Compliance and Security
✅ Ethics and Transparency
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