『The Practical AI Digest』のカバーアート

The Practical AI Digest

The Practical AI Digest

著者： Mo Bhuiyan via NotebookLM
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 Distilling AI/ML theory into practical insights. One concept at a time. No jargon.Mo Bhuiyan via NotebookLM
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  • How Embeddings and Vector Databases Power Generative AI

    How Embeddings and Vector Databases Power Generative AI
    2025/08/19

    This episode explains how embedding models turn language into numerical vectors and how vector databases like Pinecone, FAISS, or Weaviate store and search those vectors efficiently. You'll learn how this system enables GenAI models to retrieve relevant information in real-time, power RAG pipelines, and scale up tool-augmented LLM workflows.
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    19 分
  • Agentic AI: What Happens When Models Start Acting

    Agentic AI: What Happens When Models Start Acting
    2025/08/05

    In this episode, we explore agentic AI systems built to not just predict or classify, but to plan, reason, and act autonomously. We break down what makes these models different, how they use tools, memory, and feedback to complete tasks, and why they represent the next step beyond traditional LLMs. You’ll hear how concepts like action loops, world modeling, and autonomous decision-making are shaping everything from research tools to enterprise automation.
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    19 分
  • Understanding Attention: Why Transformers Actually Work

    Understanding Attention: Why Transformers Actually Work
    2025/07/22

    This episode unpacks the attention mechanism at the heart of Transformer models. We explain how self-attention helps models weigh different parts of the input, how it scales in multi-head form, and what makes it different from older architectures like RNNs or CNNs. You’ll walk away with an intuitive grasp of key terms like query, key, value, and how attention layers help with context handling in language, vision, and beyond.
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    20 分
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