2-7-3. Data Security and Privacy: The AI Lifecycle
This episode breaks down Chapter 3, tracking data risks from training to deployment. We discuss how models can memorize sensitive training data, the subtle dangers of leakage through generated outputs...
18 Feb 25min
2-7-2. Threat Modeling for LLM Systems: A Step-by-Step Guide
This episode covers the systematic approach of Chapter 2, moving beyond vague security worries to concrete risk analysis. We discuss how to identify unique AI assets—like prompts, logs, and retrieval ...
18 Feb 29min
2-7-1. The Probabilistic Shift: Why AI Security is Different
This episode dives into Chapter 1, exploring why traditional security measures fail when applied to Large Language Models. We discuss the fundamental shift from deterministic code to probabilistic beh...
18 Feb 36min
2-1-12. The System Architect — Building Your Own LLM System
In this episode, we bring every previous concept together to answer the ultimate practical question: How do you actually build a complete LLM system from scratch? We move beyond the model itself to co...
17 Feb 38min
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
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
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
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
