GIAIC: Agentic_AI - Class 11 | Quarter 3 LLMs | Models | with Sir Ameen Alam & Sir Mubashir

Описание: 🚀 Welcome to Class 11 - Agentic AI & Foundational AI Concepts!
🎓 In this insightful session with Sir Ameen Alam and Sir Mubashir Ali, we explore the backbone technologies behind Generative AI and Agentic AI – empowering you with both theory and practical insights!
GitHub_Topic_link: https://github.com/panaversity/learn-agent...

🔍 Topics Covered in This Class:
✅ What are Tokens and how word counting works
✅ Vector Embedding & Semantic Search explained simply
✅ Parameter Adjustment in AI models
✅ Diffusion Models: Image generation like Stable Diffusion
✅ GANs (Generative Adversarial Networks): How they create images/videos
✅ Transformers & Self-Attention Mechanism: The core of LLMs
✅ Inference: Using trained models to predict outcomes
✅ LLMs (Large Language Models): ChatGPT, Bard, Claude
✅ LVMs (Large Vision Models): DALL·E 2, Stable Diffusion
✅ Generative AI vs. Agentic AI
✅ OpenAI's Agents SDK for building AI workflows
✅ HuggingFace and LLM Arena
✅ uv: A fast Python package manager
✅ Function signatures and class parameters

📚 Why Watch This Session?
This class builds your foundation in modern AI systems and tools — from understanding how ChatGPT works to exploring real-world applications like image generation and autonomous AI agents.
🧠 Whether you're a student, developer, or AI enthusiast, this class gives you the clarity and confidence to understand and apply cutting-edge AI concepts.
✨ Part of the Governor Sindh Tech Initiative
Led by Governor Kamran Tessori, this series empowers youth across Sindh through hands-on learning in Python, AI, and software development.

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