LLMs & AI Engineering

by Syed Zain Raza

Prompt Engineering That Actually Works

The patterns that reliably improve outputs, and the folklore that does not.

RAG from First Principles

Retrieval-augmented generation: chunking, embeddings, retrieval, and where it breaks.

Fine-Tune, RAG, or Prompt?

A decision framework for the question every AI project eventually asks.

Building an AI Agent

Tools, memory, and the reason-act loop that turns a model into an agent.

Evaluating LLM Outputs

The hardest unsolved problem in shipping AI, and how teams tackle it anyway.

Cutting LLM Costs

Caching, routing, and smaller models: making AI cheap enough to ship.