LLM Primer

LLM Primer is a structured deep dive into Large Language Models, based on a seven-book series covering everything from foundational concepts and mathematical intuition to RAG, MCP, scalable AI systems, and AI security. This podcast is built for engineers and serious professionals who want real understanding—not surface-level explanations. Each season corresponds to one book. Each episode builds technical clarity step by step. Understand the model. Build better systems.

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Episoder(19)

2-1-3. The Computational Engine — Neural Networks for Language

In this episode, we open the hood of the machine. Having established that language modeling is a probability game, we now examine the actual computational structures that make learning possible. We tr...

17 Feb 33min

2-1-1. Mechanism, Not Mythology — What Is a Large Language Model?

In this premiere episode, we strip away the marketing hype to answer a fundamental question: What exactly is a Large Language Model? We move beyond the buzzwords to explore the shift from the rigid, r...

16 Feb 33min

2-1-2 The Statistical Backbone — Probability, Tokens, and Text

If the first episode defined what an LLM is, this episode explains how it actually processes information. We dive into the mathematical framework that transforms human language into structured data, r...

16 Feb 33min