AI Glossary

The AI terms that
actually matter.

Clear, technical definitions of 81 key concepts — written by AI engineers, not marketers.

Agentic AI

Agent Evaluation

Agent Evaluation encompasses the frameworks, metrics, and methodologies used to assess the performance, reliability, safety, and reasoning capabilities of autonomous AI agents across dynamic, multi-step trajectories.

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Agentic AI

Agent Harness

An agent harness is the software infrastructure wrapped around a large language model that turns it from a text generator into an autonomous agent — the orchestration loop that calls the model, executes its tool calls, manages context and memory, enforces guardrails, and decides when the task is done. Tools like Claude Code, OpenClaw, and Zhipu's ZCode are harnesses.

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AI Techniques

Agent Skills

Agent Skills are modular, self-contained packages of instructions, code, and resources that AI agents can discover and load on demand — extending an agent's capabilities without retraining the underlying model.

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AI Techniques

Agentic AI

Agentic AI refers to AI systems that autonomously pursue goals by planning multi-step actions, calling external tools, and adapting based on outcomes — with minimal human intervention at each step.

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AI Architecture

Agentic RAG

Agentic RAG enhances traditional Retrieval-Augmented Generation by introducing autonomous agents that dynamically plan, route, and perform multi-step information retrieval using various tools.

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AI Concepts

AI Memory

AI Memory refers to the mechanisms and architectures by which LLMs and autonomous agents store, retrieve, and use information across time — from a single context window to persistent, queryable long-term storage.

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AI Techniques

ANN (Approximate Nearest Neighbor Search)

Approximate Nearest Neighbor search is a family of algorithms that find vectors close — but not guaranteed to be exactly closest — to a query vector in high-dimensional space, trading a small amount of accuracy for orders-of-magnitude speedups over exact search, making it the foundational retrieval layer behind every modern vector database, RAG system, and semantic search engine.

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Voice AI

Audio-Native Model

An audio-native model (or native speech-to-speech model) processes and generates audio directly, end-to-end, with no text transcript in between — preserving tone and emotion while cutting the latency of a cascaded voice pipeline.

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Language Models

Aya 101 LLM (Cohere For AI)

The Aya model by Cohere for AI is a groundbreaking open-source AI initiative, supporting 101 languages to advance multilingual language processing and democratize AI accessibility across diverse linguistic landscapes.

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AI Architecture

Blackwell Architecture

NVIDIA's Blackwell architecture is a transformative GPU platform designed for trillion-parameter AI models, featuring a dual-reticle design, 208 billion transistors, and a 2nd-generation Transformer Engine with native FP4 precision.

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ASR

Canary-Qwen 2.5B

NVIDIA's Canary-Qwen 2.5B is a Speech-Augmented Language Model that holds the #1 spot on the Hugging Face Open ASR Leaderboard with a 5.63% average word error rate.

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AI Techniques

Chain-of-Thought Prompting

Chain-of-Thought (CoT) prompting is a technique that instructs a language model to externalise its reasoning as a sequence of intermediate steps before producing a final answer, dramatically improving accuracy on arithmetic, logic, and multi-step tasks.

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