AI Glossary

The AI terms that
actually matter.

Clear, technical definitions of 74 key concepts — written by AI engineers, not marketers.

AI Techniques

Logit Lens

The Logit Lens is a mechanistic interpretability technique that reads a transformer's mind mid-computation. By projecting the hidden state at each intermediate layer through the model's final layer-norm and unembedding matrix, it reveals the model's evolving 'best guess' for the next token — showing how a prediction is refined layer by layer through the residual stream.

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AI Techniques

LoRA Fine-Tuning

LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that freezes a pre-trained model's weights and injects small trainable low-rank matrices into key layers, enabling effective specialisation at a fraction of the compute and memory cost of full fine-tuning.

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AI Architecture

Mamba Model

The Mamba model is a groundbreaking AI architecture that achieves state-of-the-art performance across various modalities by utilizing selective state spaces for efficient, linear-time sequence modeling

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AI Models

MiniMax M2.7

MiniMax M2.7 is an open-source, self-evolving Mixture-of-Experts AI model that autonomously participates in 30–50% of its own training workflow, featuring 230 billion total parameters, a 200K-token context window, and top-tier performance on agentic and software engineering benchmarks.

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AI Architecture

Mixture of Experts (MoE)

Mixture of Experts is a neural network architecture where a learned routing mechanism activates only a small subset of specialised sub-networks (experts) for each input token — delivering the capacity of a much larger model at a fraction of the per-token compute cost.

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AI Techniques

Model Context Protocol (MCP)

Model Context Protocol (MCP) is an open standard introduced by Anthropic that defines a universal interface for connecting AI models to external data sources, tools, and services — eliminating the need for bespoke integrations for every AI-to-system connection.

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AI Models

Moshi

Moshi is a full-duplex, real-time spoken dialogue AI developed by Kyutai that can simultaneously listen and speak — enabling natural, interruption-aware conversations with theoretical latency as low as 160ms.

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Agentic AI

Multi Agent System

A Multi-Agent System (MAS) is an AI architecture where multiple autonomous, specialized agents interact, collaborate, or compete to solve complex workflows that are too difficult or broad for a single, monolithic AI model.

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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.

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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.

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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.

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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.

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