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The Practical AI Digest

Mo Bhuiyan via NotebookLM

Distilling AI/ML theory into practical insights. One concept at a time. No jargon.

PublishesTwice monthlyEpisodes10Founded5 months ago
Number of ListenersCategory
Technology

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Latest Episodes

This episode breaks down what graph neural networks (GNNs) are and why they matter. You’ll learn how GNNs use nodes and edges to represent relationships and how message passing lets models make sense of social, biological, and networked data. We’ll a... more

In this episode, we explain what neuro-symbolic AI is and why it matters. You’ll learn how neural networks handle patterns, how symbolic systems handle rules, and how combining the two can help models reason more reliably. We also cover real examples... more

In this episode, we look at how large language models are being used in chip and hardware design. We break down what LLM-aided design actually means, how models can generate HDL code, assist with testbench creation, and even support formal verificati... more

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 relev... more

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... more

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 lik... more

In this episode, we break down the essentials of Markov Chains, Monte Carlo simulations, and Markov Chain Monte Carlo methods. We explain key ideas like memoryless processes, stationary distributions, and how random sampling helps model uncertainty. ... more

In this episode, we dive into the Model Context Protocol, or MCP. It’s a new standard that helps large language models connect with real-world tools, data, and APIs in a more structured way. We’ll break down how MCP works, why it matters for building... more

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#37
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Apple Podcasts
#75
United Arab Emirates/Technology

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