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Deep-dive definitions and engineering standards for the 2026 stack. Master the concepts behind AI agents, modern frameworks, and zero-knowledge architecture.
The specialized sub-word tokenizer used in the GPT-5 model series, optimized for multilingual efficiency and technical reasoning.
An automated build-time compiler for React that eliminates the need for manual memoization (useMemo, useCallback).
An architectural pattern where sensitive calculations are handled via local WebAssembly binaries, ensuring the server never sees the raw data.
A design pattern where AI is given the autonomy to plan, use tools, and iterate on tasks rather than just responding to single prompts.
The Next.js 15 pattern where environment-level functions like headers() and cookies() return promises instead of direct values.
A powerful tool for validating the structure, content, and data types of JSON documents using a standardized vocabulary.
An AI architecture that provides an LLM with relevant, external data from a database or vector store before generating a response, drastically reducing hallucinations.
The maximum amount of text (measured in tokens) that an LLM can 'read' and process in a single interaction.
We update our Intelligence Glossary weekly based on new framework releases and AI model drops.
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