LLM Primer
LLM-PRIMERLLM 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 te... more
| Publishes | Daily | Episodes | 19 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Category | Technology | ||||
Listen to this Podcast
Latest Episodes
This episode covers Chapter 7, examining why Large Language Models confidently generate false information. We discuss the probabilistic nature of "hallucinations," the dangerous gap between fluency and correctness, and practical strategies like calib... more
This episode covers Chapter 6, focusing on the security implications of connecting models to external data (RAG). We discuss how this introduces new trust boundaries, the dangers of malicious document injection where attackers plant traps in your kno... more
This episode covers Chapter 5, detailing how to build disciplined pipelines around an AI model. We discuss strategies for sanitizing user inputs to catch attacks early, the importance of structured prompting to reduce ambiguity, and why output modera... more
This episode explores Chapter 4, detailing how attackers manipulate model behavior through crafted inputs like instruction overrides. We discuss why prompt injection is an inherent property of instruction-following systems rather than a standard bug.... more
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #208 |  Singapore/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
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Frequently Asked Questions About LLM Primer
What is LLM Primer about and what kind of topics does it cover?
This series targets engineers and tech leaders building AI-powered systems, with a strong emphasis on practical architecture, security, and scalable deployment. Episodes revolve around deep technical concepts in large language models, including reliability, data security, threat modeling, and production-ready pipelines. Across installments, the focus stays on turning probabilistic models into trustworthy, verifiable software—covering topics like retrieval-augmented generation, prompt safety, data leakage defenses, observability, and risk-aware engineering. A standout trait is the rigorous, book-chapter-driven approach that grounds theory in concrete, enterprise-focused guidance, making it especially valuable for teams responsible for deploy... more
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How many listeners does LLM Primer get?
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What are the audience demographics for LLM Primer?
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How many subscribers and views does LLM Primer have?
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Which podcasts are similar to LLM Primer?
These podcasts share a similar audience with LLM Primer:
1. Huberman Lab
How many episodes of LLM Primer are there?
LLM Primer launched 4 months ago and published 19 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact LLM Primer?
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Where can I see ratings and reviews for LLM Primer?
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What guests have appeared on LLM Primer?
Recent guests on LLM Primer include:
1. Sho Shimoda
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