Introduction to LLM

This scratchpad collects the LLM introduction series, an eight-part walkthrough from transformer basics to responsible deployment. Many examples use evacuation and transportation planning as a running case, but the concepts apply broadly.

LLM 101: Transformers, Training, and Inference

LLM 102: Prompting, Context, RAG, and Hallucinations

LLM 103: Retrieval-Augmented Generation in Practice

LLM 104: Agents, Tools, Memory, and Guardrails

LLM 105: Evaluation, Benchmarks, and Measuring Usefulness

LLM 106: Fine-Tuning, Adaptation, and When to Train

LLM 107: Deployment, Cost, Latency, and Monitoring

LLM 108: Safety, Privacy, Bias, and Responsible Use