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4,077 articles updated. New pages start at v1; higher version numbers mean an existing article was revised. Page 32 of 41.

Thursday, July 23, 2026

  • Coherev8--- Private company Industry 2019 Founders Toronto, Ontario, Canada Key people Command, Embed, Rerank, North, Aya (Cohere Labs) Funding ...
  • AlphaGov5AlphaGo is a computer program developed by DeepMind that plays the board game Go, and it was the first artificial intelligence to defeat a professional human...
  • AI searchv5AI search (also called AI-powered search, generative search, or an answer engine) is a class of search engine and search feature that uses large language...
  • Cursor (code editor)v11Cursor is an AI-powered code editor developed by Anysphere Inc. Built as a fork of Visual Studio Code (VS Code), Cursor integrates large language model...
  • AI Image Generationv5AI image generation is the use of artificial intelligence systems to create visual content, including photographs, illustrations, paintings, concept art, and...
  • MLOpsv10MLOps (Machine Learning Operations) is a set of practices, principles, and tools for deploying, monitoring, and maintaining machine learning models in...
  • Semantic searchv6Semantic search is an information retrieval approach that finds results based on the meaning and intent behind a query rather than relying solely on exact...
  • Function callingv10Function calling is a capability of large language models (LLMs) that lets a model decide, during generation, to invoke an external function or API and emit...
  • AI Code Generationv7AI code generation is the use of artificial intelligence systems, particularly large language models (LLMs), to automatically produce source code from natural...
  • Apple Intelligencev6Apple Intelligence is Apple's personal intelligence system, a suite of generative AI features built into iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro...
  • Open-source AIv7Open-source AI is artificial intelligence released so that its weights, code, or both can be used, inspected, modified, and redistributed by anyone. The term...
  • State space model (deep learning)v6See also: Transformer, Recurrent neural network, Deep learning A state space model (SSM) in deep learning is a class of sequence model that maps an input...
  • Knowledge graphv7A knowledge graph is a structured representation of real-world entities and the relationships between them, organized as a network of interconnected nodes and...
  • LlamaIndexv10LlamaIndex is an open-source data framework for building large language model (LLM) applications, with a particular focus on retrieval-augmented generation...
  • Red teaming (artificial intelligence)v5Red teaming in artificial intelligence is the systematic, adversarial testing of an AI system to find vulnerabilities, biases, harmful outputs, and other...
  • Contrastive Learningv12See also: self-supervised learning, representation learning, metric learning, transfer learning, deep learning Contrastive learning is a family of machine...
  • EU AI Actv9The EU AI Act (formally, Regulation (EU) 2024/1689) is a regulation of the European Union that establishes a comprehensive legal framework for the development,...
  • AI Alignmentv9AI alignment is the field of AI research dedicated to ensuring that artificial intelligence systems pursue the goals, values, and intentions their human...
  • Reasoning (artificial intelligence)v8Reasoning in artificial intelligence is the ability of an AI system to draw inferences, solve problems, and make decisions through structured, multi-step...
  • Explainable AIv7Explainable AI (XAI) refers to artificial intelligence systems and techniques designed so that humans can understand how and why the system reaches its...
  • Vision Transformerv7The Vision Transformer (ViT) is a deep learning architecture that applies the transformer model, originally designed for natural language processing, to image...
  • Turing testv6The Turing test is a test of a machine's ability to exhibit conversational behavior indistinguishable from that of a human, proposed in 1950 by the British...
  • Speculative Decodingv9See also: transformer, large language model, inference, KV cache, autoregressive model, knowledge distillation Speculative decoding is a lossless inference...
  • Deepfakev6A deepfake is synthetic media in which a real person's face, voice, or body is digitally replaced, manipulated, or fabricated using artificial intelligence,...
  • Autoencoderv11An autoencoder is a type of neural network trained to reconstruct its own input through a low-dimensional bottleneck representation, using the input itself as...
  • Top-p samplingv6Top-p sampling, also called nucleus sampling, is a stochastic decoding method for text generation in which the model samples from the smallest possible set of...
  • AI ethicsv8AI ethics is the field that studies the moral principles, values, and frameworks governing how artificial intelligence systems are designed, built, deployed,...
  • Scaling Lawsv7Neural scaling laws are empirical, power-law relationships that describe how the performance of neural networks in artificial intelligence improves predictably...
  • Adversarial attackv8An adversarial attack is a technique for crafting inputs that are deliberately designed to cause artificial intelligence systems, particularly machine learning...
  • Graphics processing unitv8A graphics processing unit (GPU) is a specialized electronic circuit, originally designed to accelerate the rendering of images, video, and 2D/3D graphics,...
  • Flash Attentionv11See also: attention, transformer, self-attention, GPU computing, softmax, Tri Dao, Christopher Ré, H100, Hopper architecture, PyTorch, Triton, vLLM, Together...
  • Jailbreak (artificial intelligence)v7A jailbreak in artificial intelligence is a technique that bypasses the safety guardrails, content policies, and alignment constraints built into large...
  • Emergent abilitiesv7Emergent abilities are capabilities of large language models (LLMs) that are absent in smaller models but appear once a model reaches sufficient scale. Jason...
  • AI winterv9An AI winter is a period of reduced funding, waning public interest, and diminished research activity in the field of artificial intelligence. The term was...
  • Temperature (artificial intelligence)v7Temperature is a hyperparameter that controls the randomness of a large language model's output by scaling the model's raw scores, called logits, before they...
  • Superintelligencev6Superintelligence is a hypothetical form of artificial intelligence that surpasses all human cognitive abilities across virtually every domain, including...
  • DPOv10DPO (Direct Preference Optimization) is an alignment technique for large language models that directly optimizes a language model policy from human preference...
  • Deep Learningv11Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn representations of data at...
  • Chain-of-Thoughtv12Chain-of-thought (CoT) prompting is a prompt engineering technique that improves the reasoning ability of large language models by having them generate a...
  • Tokenizationv10Tokenization is the process of breaking text into smaller units called tokens, which serve as the fundamental input to natural language processing (NLP)...
  • xAIv12Private (merged into SpaceX, February 2026) Industry March 9, 2023 (incorporated); July 12, 2023 (announced) Founder Elon Musk, Igor Babuschkin,...
  • Z-Score Normalizationv9See also: Machine learning terms Z-score normalization, also called standardization, standard score normalization, or z-score scaling, is a data preprocessing...
  • Retrieval-Augmented Generationv10Retrieval-Augmented Generation (RAG) is a technique in natural language processing that augments a generative model with an information-retrieval component, so...
  • Z.aiv8Public company (HKEX: 2513) Industry June 11, 2019 Founders Haidian District, Beijing, China Key people GLM (General Language Model) family, ChatGLM,...
  • Sorav11Sora was OpenAI's text-to-video generative AI model: a system that generated short, high-fidelity video clips from text prompts, still images, and existing...
  • AI safetyv9AI safety is a multidisciplinary field of research and practice focused on ensuring that artificial intelligence systems operate in ways that are beneficial,...
  • Zhipu AIv12Zhipu AI (智谱AI), now branded internationally as Z.ai, is a Chinese artificial intelligence company headquartered in Beijing. Founded on June 11, 2019, the...
  • Gemini (language model)v15Gemini is a family of natively multimodal large language models developed by Google DeepMind, first announced on December 6, 2023, that can reason across text,...
  • Generative AIv8Generative AI is a category of artificial intelligence that creates new content, such as text, images, audio, video, code, and 3D models, by learning the...
  • Zero shot, one shot and few shot learningv5See also: Machine learning terms Zero-shot, one-shot, and few-shot learning are three related settings in machine learning and prompt engineering defined by...
  • Zero-Shot Image Classification Modelsv6Zero-shot image classification models are vision systems that assign images to categories the model has never encountered as labeled training examples. Instead...
  • Model Context Protocolv16The Model Context Protocol (MCP) is an open standard, introduced by Anthropic on November 25, 2024, that standardizes how artificial intelligence applications,...
  • Constitutional AIv11Constitutional AI (CAI) is an artificial intelligence alignment technique developed by Anthropic in which a large language model is trained to be helpful and...
  • XPeng IRONv7XPeng IRON is a full-size humanoid robot developed by Chinese electric vehicle maker XPeng, standing 178 cm (5 ft 10 in) tall, weighing about 70 kg, with 82...
  • Writing ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Writing Writing ChatGPT Plugins were the subset of third party extensions in the ChatGPT plugin store...
  • Zero-Shot Classification Modelsv5Zero-shot classification models are machine learning systems that assign input text to a set of candidate categories without having seen labeled training...
  • Weighted Alternating Least Squares (WALS)v7Weighted Alternating Least Squares (WALS), also called implicit Alternating Least Squares (iALS) or weighted regularized matrix factorization (WRMF), is a...
  • Weatherv4See also: Weather ChatGPT Plugins AI in weather forecasting refers to the use of machine learning, and especially deep learning, to predict the state of the...
  • Wasserstein Lossv6Wasserstein loss is a loss function for training generative models that measures the distance between two probability distributions as the Wasserstein-1...
  • Web Development ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Web Development Web Development ChatGPT Plugins were a now-retired category of third-party extensions...
  • Weather ChatGPT Pluginsv4Weather ChatGPT Plugins were a category of third party extensions for ChatGPT that supplied current conditions, forecasts, radar imagery, air quality data, and...
  • Web Services ChatGPT Pluginsv3See also: ChatGPT Plugins, ChatGPT Plugin Categories, Web Development ChatGPT Plugins, Search Engine ChatGPT Plugins and Internet ChatGPT Plugins Web services...
  • Widthv4See also: Machine learning terms Width refers to the number of neurons in a specific layer of a neural network. In modern transformer language models, the...
  • WebGPT🤖v9--- Information WebGPT🤖 Platform GPT Store Model Programming Description plugin.wegpt.ai OpenAI URL 8,000 Actions Yes Code Interpreter ...
  • WebDev Arenav3Web Development Arena Abbreviation A live, community-driven leaderboard that ranks large language models on their ability to build interactive web...
  • Wide Modelv5See also: Machine learning, Deep learning, Recommendation system A wide model is a type of machine learning model that uses a large number of input features,...
  • Word Embeddingv8A word embedding is a learned representation of text in which words are mapped to dense vectors of real numbers in a continuous vector space, so that words...
  • Whisperv13Whisper is an open-source family of automatic speech recognition (ASR) models developed by OpenAI and first released on September 21, 2022.[^1] Built on an...
  • Web Developmentv5See also: Web Development ChatGPT Plugins AI in web development is the use of large language models and related generative systems to design, build, deploy,...
  • Writingv6AI is used for writing by applying large language models to draft, edit, rewrite, summarize, and translate text, usually through a chatbot like ChatGPT or...
  • Weighted Sumv7A weighted sum is a mathematical operation that combines multiple input values by multiplying each value by a corresponding weight (coefficient) and then...
  • Voice Activity Detection Modelsv6See also: Audio Models and Tasks Voice activity detection (VAD), also called speech activity detection (SAD), is the task of deciding which segments of an...
  • Weightv6In machine learning and neural networks, a weight is a learnable numerical parameter that determines the strength of the connection between two neurons....
  • Wisdom of the Crowdv5Wisdom of the crowd is the observation that the aggregate judgment of a large group of individuals often produces more accurate estimates or decisions than any...
  • WORDLY - WORD Gamev8--- Information WORDLY - WORD Game Internal name ChatGPT Model Gaming Description June 19 or 20, 2023 (per third party plugin trackers) ...
  • WeirdMLv3--- Full name Benchmark testing whether large language models can do real ML engineering on small, unusual datasets by writing PyTorch code, getting...
  • Vibe codingv8Vibe coding is a software development practice in which a programmer describes their intent in plain natural language and relies on a large language model...
  • Unsupervised Machine Learningv7See also: Machine learning terms and Unsupervised learning Unsupervised machine learning is a type of machine learning that finds patterns, structures, and...
  • Visual Question Answering Modelsv6See also: Vision Language Model and Multimodal Model Visual question answering models are AI systems that take an image and a natural language question about...
  • Videosv4See also: Guides This page collects influential video content about artificial intelligence, machine learning, and deep learning. The first section surveys the...
  • Validationv4See also: Machine learning terms Validation in machine learning is the process of checking how well a trained model performs on data it did not see during...
  • User matrixv7See also: Machine learning terms In collaborative filtering and matrix factorization recommender systems, the user matrix (commonly written U or P) is the...
  • Vector databasev10See also: AI terms A vector database is a database that stores data as high-dimensional vectors (numerical embeddings produced by a machine learning model) and...
  • Vibe Coding Tips and Tricksv4See also: Vibe Coding Vibe coding is the practice of building software by describing what you want in natural language and letting an AI write the code. The...
  • Validation lossv4See also: Machine learning terms Validation loss is the value of a model's loss function measured on a held-out validation set, data the model never sees...
  • Upweightingv5See also: Machine learning terms Upweighting is the practice of assigning a larger weight to certain training examples (or groups of examples) so they...
  • Vimgolfv3Vimgolf Gym Environment Abbreviation OpenAI Gym style customizable environment and benchmark for VimGolf challenges, used to evaluate AI agents and large...
  • Video-MMMUv3Video Multi-Modal Multi-disciplinary Understanding Abbreviation A multi-modal benchmark that evaluates how Large Multimodal Models acquire and apply...
  • Validation Setv6A validation set (also called a development set or dev set) is a subset of labeled data that is held out from the training set and used to evaluate a model's...
  • Video Classification Modelsv5Video classification models are machine learning systems that assign one or more category labels to a video clip, typically describing the human action...
  • Vanishing Gradient Problemv9See also: Machine learning terms The vanishing gradient problem is a difficulty in training deep neural networks where the gradients used to update the network...
  • Vision language modelv6A vision-language model (VLM) is a class of multimodal artificial intelligence model that jointly processes visual inputs (typically still images, sometimes...
  • Video GPT by VEEDv5Video GPT by VEED (also stylized as VideoGPT by VEED) is an artificial intelligence text-to-video tool developed by the London-based online video editing...
  • Uplift Modelingv8Uplift modeling (also called incremental modeling, true lift modeling, or net modeling) is a set of machine learning and statistical techniques that predict...
  • Vector embeddingsv11See also: AI terms Vector embeddings are dense numerical representations of objects (text, images, audio, video, code, graphs, or any structured data) that map...
  • Variable importancesv4See also: Machine learning terms Variable importances, also called feature importances, are scores assigned to each input variable of a predictive model that...
  • True positivev8A true positive (TP) is a prediction that is correctly positive: the model predicts the positive class and the true label is also positive.[^1][^3][^17] It is...
  • Training-Serving Skewv9Training-serving skew is a difference between a machine learning model's performance during training and its performance during serving (production inference)....
  • Training lossv8See also: Loss function, Validation loss, Learning curve In machine learning, training loss is the value of the loss function computed on the training data...
  • Undersamplingv6Undersampling is a class imbalance handling technique in machine learning that removes examples from the majority class of a training set so the minority class...
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