The Practical AI Digest

Mo Bhuiyan

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

Episodes 22

Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.

S1 · E7
Aug 19, 2025 · 18 min
How Embeddings and Vector Databases Power Generative AI
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.
S1 · E6
Aug 5, 2025 · 19 min
Agentic AI: What Happens When Models Start Acting
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.

Showing 21–22 of 22 episodes