LLM Primer

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)

2-1-11. The Research Frontier — Cutting-Edge Research

2-1-11. The Research Frontier — Cutting-Edge Research

In this episode, we look beyond the current generation of models to explore the experimental architectures and learning paradigms that will define the future of AI. We analyze how researchers are rede...

17 Feb 29min

2-1-10. The Trust Architecture — Safety, Ethics, & Trust

2-1-10. The Trust Architecture — Safety, Ethics, & Trust

In this episode, we address the critical challenge of turning a powerful probabilistic system into a reliable product. We explore why engineering capability must be matched with ethical responsibility...

17 Feb 37min

2-1-9. The Cost of Intelligence — Performance, Scaling, and Costs

2-1-9. The Cost of Intelligence — Performance, Scaling, and Costs

In this episode, we face the economic and physical realities of deploying AI. A model’s theoretical capability matters little if it is too slow, too expensive, or too power-hungry to run. We explore t...

17 Feb 31min

2-1-8. The Engineering Reality — Using LLMs in Applications

2-1-8. The Engineering Reality — Using LLMs in Applications

In this episode, we step out of the theoretical lab and into the messy reality of production. We explore how a raw Large Language Model is transformed into a reliable product, shifting the focus from ...

17 Feb 42min

2-1-7. The Hybrid System — Beyond Next-Token Prediction

2-1-7. The Hybrid System — Beyond Next-Token Prediction

In this episode, we challenge the idea that Large Language Models are just text generators. We explore how modern AI extends beyond simple prediction to become a reasoning engine capable of searching ...

17 Feb 30min

2-1-6. From Generalist to Specialist — Fine-Tuning & Adaptation

2-1-6. From Generalist to Specialist — Fine-Tuning & Adaptation

In this episode, we tackle the critical difference between a model that knows "about" everything and one that can actually do a specific job. We explore the adaptation phase, where a raw, pretrained g...

17 Feb 31min

2-1-5. The Industrial Pipeline — Training Large Models

2-1-5. The Industrial Pipeline — Training Large Models

In this episode, we move from the theoretical blueprint of the Transformer to the operational reality of building a Large Language Model. We explore how an empty mathematical shell is transformed into...

17 Feb 31min

2-1-4. The Blueprint of Intelligence — The Transformer Architecture

2-1-4. The Blueprint of Intelligence — The Transformer Architecture

In this episode, we explore the specific architectural breakthrough that made the current AI revolution possible. We move from general neural network theory to the concrete blueprint of the Transforme...

17 Feb 44min

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