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In-Context Learning in Multimodal Foundation Models: Language, Vision, and Robotics
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Generative Modeling- From Datasets to GANs
A beginner-friendly, math-grounded journey from probability basics and classical density estimation to deep generative models and GANs.
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The Periodic Table of AI Systems: Predicting “Reactions” from Prompts to Autonomous Agents
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AI Systems Periodic Table
A practical framework to think about modern AI like chemistry — reusable components (LLMs, RAG, agents, guardrails) that combine into predictable reference architectures, including MCP-based tool integration.
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Understanding AI Agents and Agentic AI
A primer on AI agents, why they matter, and the mathematical and system-level intuition behind Agentic AI.