LLM

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AI & LLM Glossary

Fifty essential AI and LLM terms defined in plain English — from agents and embeddings to RAG, RLHF, and vector databases. Your quick-reference cheat sheet.

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Fine-Tuning Explained

When to fine-tune, when not to, and how to do it without burning weekend cycles. The honest version.

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LLM Cost Optimization

The operational playbook for cutting LLM spend without cutting quality. Model routing, caching, batching, and the metrics that actually matter.

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Transformer Architecture Explained

The architecture that powers every modern LLM, image model, and AI agent — explained with worked examples, real numbers, and what it means for the systems you build.

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What is an LLM?

Large Language Models, explained from first principles — what they are, how they predict tokens, and where the magic and limits come from.

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What is Generative AI?

The umbrella explainer — what generative AI actually is, the four modalities, the economics behind it, and where the 2026 frontier has moved.

Workflow

Build an AI Podcast Generator

Turn any article, paper, or transcript into a multi-voice podcast episode with natural-sounding hosts.

Workflow

Build an AI Resume Optimizer

A tool that takes a resume and a job description, scores the match, and rewrites the resume tailored to the role.

Interview

An LLM hallucinated a fake API in production code. How do you prevent this systematically?

Tests whether you treat LLM reliability as an engineering problem, not a model problem.

Interview

How do you defend a production LLM application against prompt injection attacks?

Tests whether you treat LLM security as layered engineering, not a single prompt trick.