AI Glossary

The AI terms that
actually matter.

Clear, technical definitions of 146 key concepts — written by AI engineers, not marketers.

Video AI

Seedance 2.0

Glossary about Seedance 2.0

Read definition
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.

Read definition
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.

Read definition
AI Techniques

Semantic Chunking

Semantic chunking splits a document into retrieval chunks at points where consecutive sentences stop being topically similar, using embedding-similarity drops or discourse boundaries instead of a fixed character or token count. It trades extra compute at ingest time for chunks that hold together as coherent units of meaning.

Read definition
AI Infrastructure

Semantic Routing

An inference-serving layer that classifies each incoming prompt by intent and difficulty, then routes it to a cheap fast-path model or an expensive reasoning-enabled model accordingly, instead of applying the same reasoning budget to every request.

Read definition
AI Security

Shadow AI

Shadow AI is the use of AI tools, models, browser extensions, or personal AI accounts inside an organization without the knowledge, approval, or oversight of IT, security, legal, or compliance teams. It inherits every risk of classic shadow IT and adds AI-specific exposure: sensitive data pasted into public models, unreviewed agent actions, and regulatory obligations under frameworks like the EU AI Act.

Read definition
AI Techniques

SHAP (SHapley Additive exPlanations)

SHAP is a method for explaining any machine learning prediction by assigning each input feature a signed contribution that adds up to the difference between that prediction and the model's average output. The contributions are Shapley values from cooperative game theory, which makes them the unique attribution satisfying a short list of fairness axioms.

Read definition
AI Architecture

Sliding Window Attention (SWA)

Sliding Window Attention (SWA) restricts each token to attending only within a fixed-size local neighborhood instead of the full sequence, cutting attention cost from quadratic to linear in sequence length; stacked across layers its effective receptive field still reaches far, and interleaving it with periodic full-attention layers (Mistral, Gemma, GPT-OSS) is the standard recipe modern LLMs use to control KV cache size at long context.

Read definition
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.

Read definition
AI Strategy

Sovereign AI

Sovereign AI refers to the strategic development, deployment, and control of artificial intelligence capabilities by a nation, region, or organization to ensure data privacy, security, and cultural alignment, independent of foreign or third-party infrastructure.

Read definition
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'.

Read definition
AI Infrastructure

Speculative Decoding

Speculative decoding accelerates LLM inference by having a small, cheap draft model propose several tokens ahead, then verifying all of them in a single forward pass of the large target model. Accepted tokens are emitted for free, and a rejection sampling step guarantees the output distribution is mathematically identical to normal decoding, so the speedup costs nothing in quality.

Read definition
← Previous Page 11 of 13 Next →

Stay ahead of the curve

Weekly newsletter on agentic AI, LLMs, and what we're building at Superteams — straight to your inbox.

Ready to ship AI in production?

We deploy fractional AI teams that deliver production-grade systems in 30–90 days. No fluff, no obligation.

Book a strategy call