The AI terms that
actually matter.
Clear, technical definitions of 87 key concepts — written by AI engineers, not marketers.
HyDE (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 definitionJailbreaking
Jailbreaking is the practice of crafting adversarial prompts or multi-turn conversations that manipulate an LLM into bypassing its safety training and producing content or actions it was explicitly aligned to refuse, remaining one of the most persistent unsolved problems in AI safety despite continuous defensive advances.
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 definitionKnowledge Distillation
Knowledge distillation is a model compression technique where a compact 'student' model is trained to replicate the behavior of a larger, more capable 'teacher' model — achieving near-teacher-level accuracy at a fraction of the size, latency, and cost.
Read definitionKokoro
An open-weight TTS model with just 82M parameters that matches the output quality of models ten times its size, running in under 0.3 seconds on CPU — the most efficient high-quality open-source voice model available.
Read definitionLarge Language Diffusion Models
A class of generative AI models that apply diffusion processes, originally popularized in image generation, to text generation. They offer non autoregressive, highly controllable generation by iteratively denoising continuous embeddings or discrete vocabulary spaces.
Read definitionLarge Language Model (LLM)
Large Language Models (LLMs) are advanced AI systems designed to understand, generate, and interact with human language at scale, leveraging vast amounts of text data to perform a wide range of linguistic tasks.
Read definitionLarge Vision Model (LVM)
Large Vision Models (LVMs) are advanced artificial intelligence systems designed to process, analyze, and interpret large volumes of visual data, enabling sophisticated image recognition, object detection, and segmentation tasks.
Read definitionLogit 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.
Read definitionLoRA 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.
Read definitionMamba 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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