AI Glossary

The AI terms that
actually matter.

Clear, technical definitions of 62 key concepts — written by AI engineers, not marketers.

Safety & Alignment

Respect Real-World Ties

A foundational OpenAI safety principle and a measurable training objective directing ChatGPT to actively protect users' real-world relationships, never fostering emotional dependence or replacing human connection.

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AI Techniques

Retrieval-Augmented Generation (RAG)

RAG is technique that combines information retrieval from external sources with text generation, resulting in factually accurate and context-aware AI.

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Video AI

Seedance 2.0

Glossary about Seedance 2.0

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Image AI

Seedream 5.0 Lite

Seedream 5.0 Lite is a multimodal image generation model on BytePlus ModelArk, supporting text and image inputs for high-quality, instruction-aligned image generation and editing workflows.

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AI Infrastructure

Semantic Cache

Semantic cache is a caching technique where LLM responses are stored and retrieved based on semantic similarity between queries rather than exact string matching — dramatically reducing redundant LLM calls and API costs when users ask questions that mean the same thing in different words.

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Video AI

Sora AI Model

Sora is OpenAI's groundbreaking text-to-video AI model and can generate high-def videos of up to 1 min duration.

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Voice AI

Speaker Diarization Models

AI models designed to partition an audio stream into homogeneous segments according to the speaker identity, effectively answering the question 'who spoke when'.

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Image AI

Stable Diffusion

Stable Diffusion is a powerful AI model turning your text descriptions into stunningly realistic images, pushing the boundaries of creative expression and innovation.

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Agentic AI

Swarm Architecture

Swarm Architecture in AI refers to a decentralized, lightweight multi-agent framework where numerous specialized AI agents collaborate through direct interactions and 'handoffs' to solve complex tasks without a heavy centralized orchestrator.

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AI Architecture

Transformer Architecture

The Transformer architecture is a deep learning model that uses self-attention mechanisms to efficiently process sequential data, such as text, without relying on recurrent layers.

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AI Techniques

TurboQuant

TurboQuant is a Google Research compression algorithm that reduces LLM key-value cache memory by 6× and speeds up attention computation up to 8× — with zero accuracy loss and no retraining required — using a two-stage geometric quantization approach.

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AI Techniques

Vector Similarity Search

Vector similarity search is the process of finding stored vectors that are mathematically closest to a query vector in high-dimensional space — the core retrieval operation behind semantic search, RAG, recommendation systems, and embedding-based AI pipelines.

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