AI Glossary

The AI terms that
actually matter.

Clear, technical definitions of 130 key concepts — written by AI engineers, not marketers.

ASR

NVIDIA Parakeet TDT

NVIDIA's Parakeet TDT 1.1B is the fastest open-source ASR model available, achieving an RTFx near 2,000× real-time — processing audio 6.5× faster than Canary-Qwen at the cost of some accuracy.

Read definition
AI Infrastructure

OKF (Open Knowledge Format)

OKF is an open specification from Google Cloud, published June 2026 under Apache-2.0, for representing an organization's curated knowledge as a directory of plain Markdown files with YAML frontmatter and explicit links between concepts. It is meant to be authored by humans and read (and updated) directly by AI agents, keeping relationships explicit rather than re-deriving them at query time the way RAG does.

Read definition
AI Models

OmniFlatten

OmniFlatten is a full-duplex, end-to-end GPT model for seamless voice conversation that converts multi-stream speech and text into a single flattened token sequence, enabling a standard LLM backbone to handle simultaneous listening and speaking.

Read definition
Voice AI

OmniVoice

A massively multilingual open-source TTS model by Xiaomi supporting 646 languages with zero-shot voice cloning and voice design, running 40× faster than real-time.

Read definition
AI Tools

OpenClaw

OpenClaw is an open-source, local-first autonomous AI agent that runs as a persistent daemon on your own hardware, connecting to any LLM backend and operated through messaging platforms like WhatsApp, Telegram, or Discord.

Read definition
Voice AI

Orpheus TTS

A Llama 3-based open-source TTS model by Canopy Labs with human-level expressiveness, inline emotion tag control, zero-shot voice cloning, and real-time streaming — the highest-quality open voice model for conversational AI.

Read definition
AI Architecture

Physical AI

Physical AI refers to embodied artificial intelligence systems designed to sense, comprehend, and interact directly with the physical world, bridging the gap between digital cognition and real-world action.

Read definition
Agentic AI

Pi (Coding Agent Harness)

Pi is a minimal, open-source (MIT) coding-agent harness created by Mario Zechner (earendil-works). Its thesis: a capable coding agent needs only four tools — read, write, edit, bash — and a tiny system prompt, with everything else added as hot-reloadable TypeScript extensions. Despite shipping without MCP, sub-agents, or plan mode, Pi ranked #2 on Terminal-Bench with Claude Opus.

Read definition
AI Infrastructure

Prefill-Decode Disaggregation (PD Disaggregation)

Prefill-decode disaggregation is an LLM serving architecture that runs the two phases of inference, prefill (reading the prompt) and decode (generating tokens one at a time), on separate GPU pools and ships the KV cache between them. Because prefill is compute-bound and decode is memory-bandwidth-bound, splitting them removes the interference that makes colocated serving stall streaming responses, and lets each pool be sized and tuned independently.

Read definition
AI Techniques

Prompt Engineering

Prompt engineering is the practice of designing and refining the text inputs given to an AI model to reliably produce accurate, useful, and well-formatted outputs — without changing the model's weights.

Read definition
AI Security

Prompt Injection

Prompt Injection is a critical vulnerability in Large Language Models (LLMs) where malicious, untrusted instructions are embedded into user inputs or external data to manipulate the model into ignoring its safety guidelines and executing unintended actions.

Read definition
Voice AI

Prosody

Prosody is the melody, rhythm, and stress pattern of speech, carried by pitch (F0), duration, and energy, which turns flat, monotone synthetic audio into speech that sounds like it means something.

Read definition
← Previous Page 8 of 11 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