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| Episode | Date |
|---|---|
|
2-7-7. Hallucinations and Reliability: Managing Confident Errors
|
Feb 19, 2026 |
|
2-7-6. Retrieval-Augmented Generation Risks: Securing the Knowledge Pipeline
|
Feb 19, 2026 |
|
2-7-5. Input Validation and Output Filtering: The Defense Pipeline
|
Feb 18, 2026 |
|
2-7-4. Prompt Injection and Jailbreaks: Defending the Interpreter
|
Feb 18, 2026 |
|
2-7-3. Data Security and Privacy: The AI Lifecycle
|
Feb 18, 2026 |
|
2-7-2. Threat Modeling for LLM Systems: A Step-by-Step Guide
|
Feb 18, 2026 |
|
2-7-1. The Probabilistic Shift: Why AI Security is Different
|
Feb 18, 2026 |
|
2-1-12. The System Architect — Building Your Own LLM System
|
Feb 17, 2026 |
|
2-1-11. The Research Frontier — Cutting-Edge Research
|
Feb 17, 2026 |
|
2-1-10. The Trust Architecture — Safety, Ethics, & Trust
|
Feb 17, 2026 |
|
2-1-9. The Cost of Intelligence — Performance, Scaling, and Costs
|
Feb 17, 2026 |
|
2-1-8. The Engineering Reality — Using LLMs in Applications
|
Feb 17, 2026 |
|
2-1-7. The Hybrid System — Beyond Next-Token Prediction
|
Feb 17, 2026 |
|
2-1-6. From Generalist to Specialist — Fine-Tuning & Adaptation
|
Feb 17, 2026 |
|
2-1-5. The Industrial Pipeline — Training Large Models
|
Feb 17, 2026 |
|
2-1-4. The Blueprint of Intelligence — The Transformer Architecture
|
Feb 17, 2026 |
|
2-1-3. The Computational Engine — Neural Networks for Language
|
Feb 17, 2026 |
|
2-1-1. Mechanism, Not Mythology — What Is a Large Language Model?
|
Feb 16, 2026 |
|
2-1-2 The Statistical Backbone — Probability, Tokens, and Text
|
Feb 16, 2026 |