Thursday, July 23, 2026
- Convenience Samplingv6Convenience sampling (also called grab sampling, accidental sampling, or opportunity sampling) is a non-probability sampling method in which data points or...
- Confident Learning (CL)v6Confident Learning (CL) is a data-centric machine learning framework for characterizing, finding, and learning with label errors in datasets. It works by...
- Confirmation Biasv6Confirmation bias is the tendency to search for, interpret, favor, and recall information in ways that confirm one's preexisting beliefs, and in artificial...
- Collectibles ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Collectibles Collectibles ChatGPT Plugins were third party tools published in the ChatGPT plugin store...
- Conditionv4See also: Machine learning terms In machine learning, a condition is any node in a decision tree that performs a test on one or more features and routes an...
- Clippingv6Clipping is a family of techniques in machine learning that constrain numerical values to lie within a specified range or below a specified magnitude. The most...
- Candidate Generationv7Candidate generation is the first stage in a multi-stage recommendation system or information retrieval pipeline. Its purpose is to quickly narrow a large...
- Claude Codev16See also: Claude Claude Code is an AI-powered command-line tool for agentic coding developed by Anthropic that lets developers delegate software tasks to...
- Cars ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Cars Cars ChatGPT Plugins were a group of third-party ChatGPT plugins, active from May to mid-2023...
- CapCut VideoGPTv7--- Information CapCut VideoGPT Platform GPT Store Model Lifestyle / Productivity Description capcut.com (ByteDance) OpenAI URL 12,000+ ...
- Claude --dangerously-skip-permissionsv5See also: Claude, Claude Code, Anthropic claude --dangerously-skip-permissions is a command-line flag for Claude Code, Anthropic's terminal-based AI agent for...
- Calibration Layerv7A calibration layer is a post-prediction adjustment appended to a trained machine learning model that rescales its raw output scores or predicted probabilities...
- Classification Thresholdv7A classification threshold (also called a decision threshold or cut-off point) is a numeric value used to convert the continuous probability output of a...
- Classification (machine learning)v8Classification in machine learning is the supervised learning task of training an algorithm to assign discrete category labels to input data, in contrast to...
- Class-Imbalanced Datasetv6A class-imbalanced dataset is a dataset in which the distribution of examples across the target classes is significantly unequal, so that one class (the...
- Causal Language Modelv6A causal language model (CLM), also called an autoregressive language model or a decoder-only language model, is a language model that predicts the next token...
- Classv4See also: Machine learning terms In machine learning, a class is one of the discrete categories that a classification model can assign to an input. Google's...
- CUDAv9CUDA (Compute Unified Device Architecture) is NVIDIA's parallel computing platform and programming model that lets developers run general-purpose code on a...
- Candidate Samplingv6Candidate sampling is a family of training-time optimization techniques used in machine learning to reduce the computational cost of models that must choose...
- COLLIEv3Systematic Construction of Constrained Text Generation Tasks Abbreviation A grammar-based framework for systematically constructing complex, compositional...
- Claude Code Playwrightv6Claude Code Playwright refers to the practice and integration of using Claude Code, Anthropic's agentic coding tool available in the terminal, IDEs, and via...
- Carsv4See also: Cars ChatGPT Plugins AI in cars covers the use of machine learning, computer vision, neural networks, and large language models in passenger...
- Categorical Datav7Categorical data, also called qualitative data, is data whose values are discrete labels or groups (such as colors, country names, or blood types) rather than...
- Checkpointv8See also: Machine learning terms In machine learning, a checkpoint is a saved snapshot of a model's state captured at a specific point during the training...
- Centroidv6See also: Machine learning terms A centroid is the geometric center of a set of points, computed as the arithmetic mean of their coordinates: each component of...
- Centroid-based clusteringv6See also: Machine learning terms Centroid-based clustering is a family of machine learning algorithms that group data by representing each cluster with a...
- Bidirectionalv7See also: Machine learning terms Bidirectional describes a sequence model in which the representation at every position depends on the entire input sequence,...
- ByteDance Seedv5Research division Industry Early 2023 Headquarters Wu Yonghui (Head of Foundational Research) Zhu Wenjia (Head of Applications) Li Hang (Head of...
- Boostingv7Boosting is an ensemble learning method in machine learning that trains a sequence of weak learners, each one correcting the errors of its predecessors, and...
- BrowseCompv5Browsing Competition Abbreviation A benchmark evaluating AI agents' web browsing ability through 1,266 challenging short-answer questions that require...
- Binary conditionv4See also: Machine learning terms A binary condition is a test at a node of a decision tree that has exactly two possible outcomes, typically yes or no...
- Bias (Math) or Bias Termv6See also: Machine learning terms The bias term is a learnable additive constant b added to the weighted sum of a neuron's inputs before an activation function...
- Business ChatGPT Pluginsv4Business ChatGPT plugins were the subset of third party extensions, listed in the official plugin store, that connected ChatGPT to enterprise software,...
- Bidirectional language modelv7See also: Machine learning terms A bidirectional language model is a language model that, when computing a representation for a token, conditions on both the...
- Beverage ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Beverage Beverage ChatGPT Plugins were the small subset of third-party plugins published in the...
- Biasv9See also: Bias-Variance Tradeoff, Fairness (Machine Learning), Neural Network, Activation Function, Weight Bias in artificial intelligence carries three...
- Burstinessv6See also: AI text, AI content and AI content detectors Burstiness is a statistical property of a text that measures how unevenly its sentence lengths,...
- Bounding Boxv6A bounding box is a rectangular region defined by a set of coordinates that encloses an object of interest within an image, video frame, or three-dimensional...
- Blog postsv4See also: Guides, Papers, Books Blog posts have shaped how the public, researchers, and policymakers understand artificial intelligence. Long before peer...
- Bigramv6A bigram (also written 2-gram) is a contiguous sequence of two adjacent elements, typically two words or two characters, taken from a body of text or speech....
- Browser-use agentv6A Browser-use agent is an artificial intelligence software agent that operates a standard web browser through its normal user interface, clicking, typing,...
- Broadcastingv4See also: Machine learning terms Broadcasting is the set of rules that lets element-wise operations (addition, subtraction, multiplication, division) act on...
- Businessv5See also: Business ChatGPT Plugins Business uses of artificial intelligence are the application of machine learning, generative AI, and AI agents inside...
- Binary Classificationv11See also: Classification model, Multi-class classification Binary classification is a supervised learning task in which a model assigns each input to exactly...
- Bucketingv9Bucketing, also called binning or discretization, is a feature engineering technique in machine learning that converts a continuous feature into a small number...
- BERTv12BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based encoder-only language model developed by researchers at Google AI...
- Beveragev4See also: Beverage ChatGPT Plugins Artificial intelligence in the beverage industry covers the use of machine learning, generative AI, computer vision, and...
- Axis-aligned conditionv4See also: Machine learning terms In a decision tree, an axis-aligned condition is a split test at an internal node that involves only a single feature,...
- Bayesian Optimizationv9See also: Machine learning terms, Hyperparameter tuning, AutoML Bayesian optimization is a sequential, model-based strategy for finding the global optimum of...
- Bardv8Bard was the conversational AI chatbot developed by Google, launched as an experimental service on February 6, 2023, opened to a public waitlist on March 21,...
- Backdooring LLMsv4See also: artificial intelligence terms Backdooring a large language model (LLM) means secretly implanting a hidden behavior into the model during training,...
- Baidu AIv6Division/Business Unit Industry 2013 (Early AI research)2017 (AI Group formation) Headquarters Robin Li (CEO) Wang Haifeng (CTO, Head of AIG) Parent ...
- Bayesian Neural Networkv8See also: Machine learning terms A Bayesian neural network (BNN) is a neural network in which the weights and biases are represented as probability...
- Baggingv7See also: Machine learning terms, Ensemble methods, Random forest, Boosting Bagging, short for bootstrap aggregating, is an ensemble learning technique in...
- Bag of Wordsv7The bag of words (BoW) model is a text representation method that converts a document into a fixed-length numeric vector by counting how often each word from a...
- Batch Normalizationv10See also: Machine learning terms Batch normalization (often abbreviated BatchNorm or BN) is a technique for improving the speed, stability, and performance of...
- Bellman Equationv9See also: reinforcement learning, Markov decision process, Q-learning, dynamic programming, value function, Machine learning terms The Bellman equation is a...
- BALROGv5Benchmarking Agentic LLM and VLM Reasoning On Games Abbreviation A benchmark that evaluates agentic LLM and VLM capabilities through six diverse,...
- Benchmark (AI)v8In artificial intelligence and machine learning, a benchmark is a standardized combination of a dataset, a task definition, and a scoring protocol that lets...
- Backpropagationv9Backpropagation (short for "backward propagation of errors") is the algorithm used to compute the gradient of a scalar loss function with respect to every...
- Batchv8See also: machine learning terms, batch size, gradient descent A batch in machine learning is the set of training examples processed together in one forward...
- Batch Sizev12In machine learning, batch size is the hyperparameter that sets how many training examples a model processes together before it updates its parameters with one...
- Bert-base-uncased modelv6Bert-base-uncased model Hugging Face google-bert/bert-base-uncased Name bert-base-uncased Type Natural Language Processing Task Fill-Mask Library PyTorch,...
- BLEU (Bilingual Evaluation Understudy)v8BLEU (Bilingual Evaluation Understudy) is an automatic evaluation metric that scores the quality of machine translation output by measuring how many word...
- Baselinev5See also: Machine learning terms, Model evaluation In machine learning, a baseline is a simple reference model or method used as a point of comparison to judge...
- Automation Biasv5Automation bias is the tendency for humans to favor suggestions and outputs from automated decision-making systems over contradictory information from...
- Artificial intelligence applicationsv4See also: Terms, Models and Guides Artificial intelligence / AI apps Artificial intelligence applications are the real-world deployments of AI techniques...
- Average Precisionv7See also: precision, recall, F1 score, confusion matrix, AUC, precision-recall curve Average precision (AP) is an evaluation metric that summarizes the...
- Artificial Intelligencev10Artificial intelligence (AI) is the field of computer science dedicated to creating systems that perform tasks normally requiring human intelligence, such as...
- AudioCraftv9See also: Generative AI, Meta AI, and Deep Learning AudioCraft is an open-source generative-audio library released by Meta AI (Fundamental AI Research, FAIR)...
- AutoGPT Agentv7--- Information AutoGPT Agent Platform GPT Store Model Productivity Description agilayer.com OpenAI URL 7,000 Actions Yes DALL·E Image...
- Artificial General Intelligencev9See also: Machine learning, Deep learning, AI safety Artificial general intelligence (AGI) is a type of artificial intelligence that can match or exceed human...
- Attribute samplingv5See also: Machine learning terms Attribute sampling is a randomization technique in which a decision tree considers only a small, randomly drawn subset of the...
- Art ChatGPT Pluginsv5See also: ChatGPT Plugins, ChatGPT Plugin Categories and Art Art ChatGPT Plugins were a small category of third-party extensions inside ChatGPT that connected...
- Attributev4See also: Machine learning terms In machine learning and data mining, an attribute is an individual measurable property of an object, observation, or example...
- Artificial Intelligence ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Artificial Intelligence Artificial Intelligence ChatGPT Plugins were a meta category of third party...
- Audio-to-Audio Modelsv5See also: Audio Models and Tasks Audio-to-audio models are machine learning systems that take an audio waveform as input and produce a different audio waveform...
- Automatic Speech Recognition Modelsv6See also: Audio Models and Speech recognition Automatic speech recognition (ASR) models, also called speech-to-text systems, are machine learning systems that...
- Attentionv16See also: Machine learning terms > This article gives a high-level overview of attention as a family of mechanisms in machine learning. For deeper treatments,...
- Area under the PR curvev4See also: Machine learning terms The area under the precision-recall curve (AUPRC), also known as average precision (AP) or PR-AUC, is a scalar summary of a...
- Audio Classification Modelsv4See also: Audio Models and Audio Audio classification models are machine learning systems for audio classification, the task of assigning one or more labels to...
- Artificial intelligence termsv7See also: Terms, Artificial intelligence and Artificial intelligence applications This glossary defines 171 common artificial intelligence terms across 11...
- Audio Modelsv6See also: Audio and Models Audio models are machine learning systems that take audio as input, produce audio as output, or both, spanning speech recognition,...
- Artv5See also: Art ChatGPT Plugins AI art is visual, audio, or other creative work produced with the help of artificial intelligence, most commonly images generated...
- Augmented realityv6Augmented reality (AR) is a class of display and interaction technologies that overlay computer-generated content onto a user's perception of the physical...
- Agentic Context Engineeringv6Agentic Context Engineering (ACE) is a framework for scalable and efficient context adaptation in large language models (LLMs) that lets an AI system improve...
- App Development ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and App Development App Development ChatGPT Plugins were a group of third party ChatGPT Plugins that let a...
- Area under the curvev7Area under the curve (AUC) is a single scalar metric that summarizes the performance of a binary classifier or diagnostic test across all possible decision...
- App Developmentv4See also: App Development ChatGPT Plugins AI in app development refers to the use of large language models, generative AI, and AI agents to design, build,...
- Anomaly Detectionv7In machine learning, anomaly detection is the process of identifying data points, events, or observations that deviate significantly from normal patterns in a...
- Advertising ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Advertising Advertising ChatGPT Plugins were a small but commercially active subset of third-party...
- Agglomerative clusteringv5See also: Machine learning terms Agglomerative clustering is a bottom-up form of hierarchical clustering used in unsupervised learning in which each data point...
- Action (Reinforcement Learning)v10In reinforcement learning (RL), an action is a decision or move made by an agent that affects the state of the environment. At each discrete time step, the...
- Adobe Fireflyv11Adobe Firefly is a family of creative generative AI models developed by Adobe and integrated across its product ecosystem. Adobe describes it as "a new family...
- AdaGradv7See also: Machine learning terms AdaGrad (short for Adaptive Gradient Algorithm) is an optimizer for gradient descent-based machine learning that gives every...
- Agentv12This article covers the foundational, conceptual, and historical idea of an agent in AI and computer science (the rational agent, PEAS, classical...
- Active Learningv11See also: Machine learning terms, Semi-supervised learning, Bayesian optimization Active learning is a subfield of machine learning in which the learning...
- Accuracyv12See also: machine learning terms, confusion matrix, precision, recall, F1 score Accuracy is a classification metric that measures the fraction of predictions a...
- Alibaba Cloudv6Subsidiary Industry September 2009 Headquarters Eddie Wu (CEO, Alibaba Group); Jeff Zhang (CTO, Head of DAMO Academy); Zhou Jingren (CTO, Alibaba Cloud);...
- Aider Polyglotv5Aider Polyglot Coding Benchmark Abbreviation A challenging multi-language code generation and editing benchmark testing LLMs on 225 difficult Exercism...
