The AI terms that
actually matter.
Clear, technical definitions of 62 key concepts — written by AI engineers, not marketers.
Embeddings
Embeddings are dense numerical vectors that represent the meaning of text, images, or other data in a high-dimensional space — where items that are semantically similar end up geometrically close together, enabling AI systems to measure meaning rather than just match keywords.
Read definitionFlash Attention
Flash Attention is an I/O-aware, exact attention algorithm that fundamentally solves the memory wall in Transformer models. By fusing operations and minimizing costly reads/writes between the GPU's High Bandwidth Memory (HBM) and SRAM, it significantly speeds up processing and enables massive context windows.
Read definitionGemma 4
Gemma 4 is Google DeepMind's fourth-generation family of open-weight multimodal AI models, spanning four sizes (E2B, E4B, 26B MoE, 31B Dense), built from the same research as Gemini 3 and designed for advanced reasoning, agentic workflows, and on-device deployment.
Read definitionGenerative AI (Gen AI)
Generative AI is a branch of artificial intelligence that creates new content or data patterns mimicking human-like creativity, based on learned information from existing datasets.
Read definitionGenerative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the process of optimizing content to be discovered, retrieved, and cited by AI-driven generative search engines like Perplexity, ChatGPT, and Google AI Overviews.
Read definitionGLM-5.1
GLM-5.1 is an open-weight 754-billion-parameter Mixture-of-Experts model from Z.AI that achieves state-of-the-art results on SWE-Bench Pro and can sustain autonomous agentic execution for up to 8 hours on a single task.
Read definitionGPT-OSS Series
OpenAI's first open-weight reasoning model family gpt-oss-120b and gpt-oss-20b released under Apache 2.0, bringing frontier-level intelligence to self-hosted deployments.
Read definitionGraphRAG
GraphRAG is an advanced retrieval technique that builds a knowledge graph from source documents — extracting entities, relationships, and community summaries — then uses that graph structure to answer complex, multi-hop questions that traditional vector-search RAG cannot handle well.
Read definitionHuman-in-the-Loop (HITL)
Human-in-the-Loop (HITL) is an architectural pattern and risk management strategy where human judgment, oversight, and intervention are intentionally integrated into an AI system’s lifecycle to ensure accuracy, safety, and alignment.
Read definitionHyDE (Hypothetical Document Embeddings)
HyDE is a zero-shot retrieval technique that uses an LLM to generate a hypothetical document based on a query, and uses that generated document's embedding to find real relevant documents.
Read definitionKimi K2.7 Code
A frontier scale, coding focused agentic AI model by Moonshot AI. It features a 1 trillion parameter MoE architecture with advanced multimodality and long horizon software engineering capabilities.
Read definitionKling 3.0 Model Series (Omni)
Understand professional AI video and image creation with Kling 3.0. Explore Video 3.0 Omni’s multi-shot cinematic control and Image O1’s precision editing for high-fidelity, agentic workflows.
Read definitionStay 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.