LLM Explainer Series

A plain-language series unpacking why modern models use Transformers, what attention does, how LLMs are trained, and how we should evaluate them.

Phase 1 · Transformer fundamentals

LLM Internals: Inside the Transformer

Why Transformers replaced RNNs — and how attention turns context into predictions.

Phase 2 · LLM training

Pretraining, instruction tuning, preference alignment, and what each stage is for.

Phase 3 · Model evaluation

From pre-training and post-training to real-world tasks — a complete framework for evaluating LLM capabilities.