AI Coding Glossary

Welcome to the AI Coding Glossary, a comprehensive and concise reference for common AI coding concepts and terminology. This glossary is for both newcomers and experienced developers seeking quick references or refreshers on AI coding.

It covers the fundamental concepts, terminology, and patterns that are essential for understanding AI-assisted programming. From core machine-learning concepts like transformers and tokenization to practical coding patterns like prompt engineering and chain of thought (CoT), this glossary helps you navigate the vocabulary of AI programming.

Whether you’re working with large language models (LLMs), implementing RAG systems, or optimizing prompts for better code generation, these terms form the foundation of modern AI-enhanced development practices.

generative pre-trained transformer (GPT) Autoregressive language models that use the transformer architecture and are pre-trained on large text corpora.
large language model (LLM) A neural network that predicts the next token to perform general-purpose language tasks.

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