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
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #37 | |
Apple Podcasts | #75 |









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The Practical AI Digest launched 5 months ago and published 10 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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