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
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
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
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
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
