Dictionary

A large language model (LLM) is a deep learning model trained on massive text datasets to understand and generate human-like text. LLMs like GPT, Claude, and LLaMA power chatbots, code assistants, and content generation tools. They work by predicting the next token in a sequence based on learned statistical patterns across billions of parameters.

Lazy loading is a performance optimization technique that defers loading of non-critical resources until they are actually needed — typically when they enter the viewport. It is commonly applied to images, videos, and below-the-fold components to speed up initial page load. Modern browsers support native lazy loading via the `loading="lazy"` attribute, while JavaScript-based solutions offer more control through Intersection Observer.

A linter is a static analysis tool that automatically scans source code for syntax errors, style violations, potential bugs, and anti-patterns without executing the code. Popular linters include ESLint for JavaScript/TypeScript, Pylint for Python, and Stylelint for CSS. Linters are typically integrated into CI pipelines and editor plugins, enforcing consistent code quality across a team with zero manual effort.