Thursday, July 23, 2026
- Environmentv6See also: Machine learning terms, Environment ChatGPT Plugins In reinforcement learning (RL), an environment is the external system that an agent interacts...
- Education Custom GPTsv5See also: Custom GPTs, GPT Store, ChatGPT, AI in Education, and Education Education Custom GPTs are the Custom GPTs listed in the Education category of...
- Entropyv6Entropy is a quantitative measure of the uncertainty, randomness, or average information content in a probability distribution: for a discrete random variable...
- Encoderv8See also: Decoder, Transformer, Autoencoder An encoder in machine learning is a neural network component that transforms input data (text, an image, audio, or...
- AI in entertainmentv4AI in entertainment refers to the use of artificial intelligence across the film, television, music, video game, animation, and live event industries. The...
- Early Stoppingv7Early stopping is a regularization technique that halts the training of an iterative machine learning model as soon as its performance on a held-out validation...
- Equality of Opportunityv5Equality of opportunity is a group-fairness criterion in machine learning that requires a classifier's true positive rate (TPR) to be equal across all groups...
- Embedding Spacev6An embedding space is a continuous, typically high-dimensional vector space in which data objects (words, sentences, images, users, audio clips, code, or other...
- Embedding vectorv7An embedding vector is a dense, fixed-length array of real numbers that represents a discrete object (such as a word, sentence, image, audio clip, or graph...
- Embedding Layerv9An embedding layer is a neural network component that acts as a trainable lookup table, mapping discrete integer indices (such as word IDs, user IDs, or...
- Ensemblev5See also: Machine learning terms Ensemble methods are techniques in machine learning that combine the predictions of multiple models, known as base learners,...
- Design ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Design Design ChatGPT Plugins were third-party extensions inside ChatGPT that helped the chatbot...
- Depthwise separable convolutional neural network (sepCNN)v4See also: Machine learning terms A depthwise separable convolutional neural network (often abbreviated sepCNN) is a convolutional neural network that replaces...
- Dynamicv4See also: Machine learning terms In machine learning, dynamic describes a model, a training process, or an inference process that runs frequently or...
- Designv4See also: Design ChatGPT Plugins Design is one of the creative fields most visibly transformed by artificial intelligence. Between 2022 and 2025, generative...
- Document Question Answering Modelsv5See also: Multimodal Models and Tasks Document question answering models (DocQA, sometimes called DocVQA for document visual question answering) are machine...
- Dynamic modelv7See also: Machine learning terms A dynamic model in machine learning is a model that is retrained frequently or continuously as new data arrives, so that its...
- Derived labelv4See also: Machine learning terms A derived label is a label that has been generated programmatically or inferred from other observable signals, rather than...
- Dropout Regularizationv6See also: Machine learning terms, Regularization Dropout regularization is a regularization technique for neural networks that prevents overfitting by randomly...
- Divisive Clusteringv4Divisive clustering, also called top-down clustering, is a hierarchical clustering method that begins with all data points in a single cluster and recursively...
- ERQAv3Embodied Reasoning Question Answering Release date 1.0 Authors Embodied Reasoning, Visual Question Answering, Robotics Modality Multiple-choice VQA (4...
- DesignerGPTv6--- Information DesignerGPT Platform GPT Store Model Programming Description Pietro Schirano OpenAI URL 134,000 Actions Yes Available ...
- Eager Executionv5Eager execution is an imperative, define-by-run mode of running machine learning framework operations in which each operation is evaluated immediately as it is...
- Devicev4See also: Machine learning terms In machine learning, a device is the hardware target on which tensor operations are executed: a CPU, an NVIDIA GPU through...
- Downsamplingv4See also: Machine learning terms Downsampling is the process of reducing the number of samples, the spatial resolution, or the number of data instances in a...
- Diagram & MindMap GPT: PRO Editionv8--- Information Diagram & MindMap GPT: PRO Edition Platform GPT Store Model Lifestyle Description Josh Brent N. Villocido OpenAI URL 0 Free ...
- EQ-Bench 3v3Emotional Intelligence Benchmark, Version 3 Abbreviation An LLM-judged benchmark testing emotional intelligence in large language models through multi-turn...
- Dynabenchv3Dynamic Benchmarking Platform Abbreviation An open-source research platform for dynamic adversarial data collection and benchmarking in NLP, with humans and...
- DeepSeekv9Private Industry July 17, 2023 Founder Hangzhou, Zhejiang, China Key people High-Flyer Capital Management (Hangzhou Huanfang Technology) Products ...
- DeepSeek-OCRv5DeepSeek-OCR is an open-source optical character recognition (OCR) and document-understanding system released by DeepSeek on 20 October 2025 that pioneers a...
- Decision Forestv6See also: Random Forest, Decision Tree, Ensemble Learning A decision forest is a family of ensemble learning methods in machine learning that combine many...
- Decision Boundaryv8See also: Classification (machine learning), Support vector machine, Logistic Regression A decision boundary (also called a decision surface) is the...
- Deep Q-Network (DQN)v6Deep Q-Network (DQN) is a reinforcement learning algorithm that uses a deep neural network to approximate the optimal action-value function (Q-function),...
- Decision Treev10See also: Machine learning terms A decision tree is a tree-structured predictive model in machine learning that makes a prediction by asking a sequence of...
- Dense Layerv8A dense layer, also called a fully connected (FC) layer, linear layer, or affine layer, is a layer in an artificial neural network where every input neuron is...
- Demographic Parityv8Demographic parity, also called statistical parity or acceptance rate parity, is a fairness criterion in machine learning that requires a model's predictions...
- Decoderv7See also: Encoder, Transformer, Machine learning terms A decoder is the component of a neural network that turns an internal, compressed, or abstract...
- Dataset API (tf.data)v4The Dataset API (tf.data) is the high-performance input pipeline framework within TensorFlow for loading, transforming, and delivering data to machine learning...
- Deep Neural Networkv10See also: Machine learning terms A deep neural network (DNN) is an artificial neural network with multiple hidden layers of artificial neurons stacked between...
- Dense Featurev7A dense feature is a feature in machine learning whose vector representation consists mostly or entirely of non-zero values, typically stored as a dense...
- Deep Modelv7See also: Machine learning, Neural network, Deep neural network A deep model, also called a deep learning model or deep neural network, is an artificial neural...
- Decision Thresholdv7A decision threshold (also called a classification threshold or cutoff point) is a value used to convert the continuous probability output of a machine...
- Deep Research Benchv5Deep Research Bench Abbreviation A benchmark evaluating LLM agents' web research capabilities using frozen web snapshots for reproducible evaluation ...
- Denoisingv5Denoising is the process of removing unwanted noise from data to recover a cleaner underlying signal, and in modern AI it doubles as a training principle: a...
- Datasetsv5In machine learning, a dataset is a structured collection of examples used to fit, tune, and evaluate models, where each example pairs input data (features)...
- Depthv4See also: Machine learning terms In machine learning, depth is the number of sequential processing stages a model applies between its input and its output. In...
- DeepResearch Benchv4Not to be confused with Deep Research Bench, a separate benchmark by FutureSearch. DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents ...
- Data Visualizationv5See also: Data Visualization ChatGPT Plugins Data visualization is the graphical representation of information and data through charts, plots, maps, and...
- DROP (Discrete Reasoning Over Paragraphs)v5Discrete Reasoning Over Paragraphs Abbreviation A reading comprehension benchmark requiring discrete reasoning and mathematical operations over paragraphs ...
- DALL-Ev8DALL-E is a family of artificial intelligence (AI) image generation models developed by OpenAI that create images from natural-language text...
- Cursor Rulesv5See also: Artificial intelligence terms Cursor Rules are persistent natural-language instructions that steer the AI agent inside Cursor, the AI-powered code...
- Data Augmentationv10See also: Machine learning terms Data augmentation is a set of techniques that artificially expand the size and diversity of a training dataset by applying...
- Data Parallelismv10Data parallelism is a distributed training technique in which the same neural network model is replicated across multiple processing units (typically GPUs),...
- CuDNNv8NVIDIA cuDNN (CUDA Deep Neural Network library) is a proprietary GPU-accelerated library of primitives for deep learning, first released by NVIDIA on September...
- Cybersecurity ChatGPT Pluginsv3See also: ChatGPT Plugins, ChatGPT Plugin Categories and Cybersecurity Cybersecurity ChatGPT Plugins were a small, informal grouping of third-party extensions...
- DataFramev6See also: Machine learning terms A DataFrame is a two-dimensional, size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and...
- Data-centric AI (DCAI)v4Data-centric AI (DCAI) is the discipline of systematically engineering and improving the data used to train a machine learning model, rather than holding the...
- DQNv7The Deep Q-Network (DQN) is a model-free, off-policy reinforcement learning algorithm that combines Q-learning with a deep neural network function...
- DALL-E (Agent)v5DALL-E (Agent) refers to the official DALL·E GPT published by OpenAI inside ChatGPT, a first-party agent variant of ChatGPT that exposes DALL·E 3 image...
- Data Analysisv5Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support...
- Custom GPTs By ChatGPTv5See also: Custom GPTs, GPT Store, ChatGPT, and OpenAI. > "GPTs created by the ChatGPT team." > Official builder description on the GPT Store Custom GPTs by...
- Data Analysis ChatGPT Pluginsv4Data analysis ChatGPT plugins were a category of third-party tools that extended ChatGPT with capabilities for analysts, data scientists, and finance...
- CustomGPT Instructions for Knowledge (Uploaded Files)v4"CustomGPT Instructions for Knowledge (Uploaded Files)" is the informal name for a short block of default instructions that OpenAI prepends to a Custom GPT's...
- Custom GPTv7A custom GPT (branded by OpenAI simply as a "GPT") is a tailored, no-code version of ChatGPT that a person configures for a specific purpose by giving it...
- Data Visualization ChatGPT Pluginsv4Data visualization ChatGPT plugins were a category of third party tools, active from 2023 to 2024, that let ChatGPT draw charts, plot graphs, render...
- DALL·E Custom GPTsv4See also: Custom GPTs, GPT Store, ChatGPT, DALL-E, and GPT Image 1 DALL·E Custom GPTs are Custom GPTs in the DALL·E category of the OpenAI GPT Store, the...
- Dark Factoryv4See also: artificial intelligence terms A dark factory, also called a lights-out factory, is a manufacturing or logistics facility that runs production with...
- AI in cryptocurrencyv4AI in cryptocurrency refers to the use of artificial intelligence techniques, including machine learning, large language models, and AI agents, within...
- Creative Writing v3v3EQ-Bench Creative Writing Benchmark Version 3 Abbreviation An LLM-judged creative writing benchmark using a hybrid rubric and Elo scoring system for...
- Convex Setv7A convex set is a set of points in which the line segment connecting any two points of the set lies entirely within the set [1][3]. Formally, a set in a real...
- Conversational Modelsv6See also: Natural Language Processing Models and Tasks Conversational models are computational systems designed to carry on a dialogue with human users in...
- Convolutional Operationv4The convolutional operation is a mathematical procedure that combines two functions to produce a third function expressing how the shape of one is modified by...
- Cross-Validationv5Cross-validation is a statistical resampling technique used in machine learning to estimate how accurately a predictive model will generalize to data it was...
- Convolutional Layerv6See also: Machine learning terms A convolutional layer is the core building block of a convolutional neural network (CNN): it slides a small set of learnable...
- Convolutional Filterv6A convolutional filter (also called a kernel or feature detector) is a small matrix of learnable weights that slides across an input and computes a dot product...
- Convolutionv9See also: Machine learning terms, Convolutional layer, Convolutional filter Convolution is a mathematical operation that combines two functions to produce a...
- Convex Functionv9A convex function is a real-valued function whose graph curves upward into a bowl or cup shape, so that the line segment (chord) connecting any two points on...
- Convolutional Neural Networkv8A convolutional neural network (CNN or ConvNet) is a type of neural network that processes grid-like data such as images by sliding small learnable filters...
- Counterfactual Fairnessv8Counterfactual fairness is a formal definition of algorithmic fairness rooted in causal inference: a prediction is counterfactually fair toward an individual...
- Criticv8A critic in reinforcement learning (RL) is the component of an actor-critic system that estimates a value function, scoring how good the actor's chosen actions...
- Cross-Entropyv7See also: Machine learning terms, Loss function, Entropy Cross-entropy is a measure from information theory of how many bits (or nats) are needed to encode...
- Convex Optimizationv7Convex optimization is the branch of mathematical optimization that minimizes a convex function over a convex set, a problem class with one defining advantage:...
- Crash Blossomv8A crash blossom is a newspaper headline that is unintentionally ambiguous because its compressed wording allows more than one valid parse, producing an...
- Cryptocurrency ChatGPT Pluginsv5See also: ChatGPT Plugins, ChatGPT Plugin Categories and Cryptocurrency Cryptocurrency ChatGPT Plugins were a category of third-party extensions for ChatGPT...
- Coverage Biasv5Coverage bias is a type of selection bias that occurs when the method used to collect data systematically excludes part of the target population, so the sample...
- Costv6See also: Machine learning terms In machine learning, cost is the scalar number that summarizes how badly a model is performing on a chunk of data. The...
- Convergencev6Convergence in machine learning is the point at which an iterative optimization algorithm reaches a stable solution, meaning the loss function stops decreasing...
- Cloud TPUv7Cloud TPU is Google Cloud's offering of Tensor Processing Units (TPUs), the family of custom application-specific integrated circuits (ASICs) that Google...
- Context windowv8A context window (also called context length) is the maximum number of tokens that a large language model (LLM) can process at once, spanning both the input...
- Confusion Matrixv7A confusion matrix is a table that summarizes the performance of a classification model by tabulating its predicted class labels against the actual class...
- Claude Skillsv7Claude Skills (also marketed as Agent Skills) are a feature developed by Anthropic that lets users package repeatable workflows, instructions, reference...
- Claude Sonnet 4.5v10See also: Claude Claude Sonnet 4.5 is a multimodal large language model (LLM) developed by Anthropic and released on September 29, 2025, which Anthropic...
- Computer visionv7Computer vision is the field of artificial intelligence that enables computers to extract meaning from digital images, video, and 3D data, performing tasks...
- Computer-use agentv7A computer-use agent (CUA) is a category of AI agent in artificial intelligence that performs tasks by directly operating a general-purpose computer's...
- Companiesv4See also: Organizations, Humanoid robot manufacturers, Foundation models Companies in the field of artificial intelligence span foundation model developers,...
- Continuous Featurev7A continuous feature is a numeric input variable in machine learning and statistics that can take any value within a range, including decimals and fractions,...
- Co-Trainingv5Co-training is a semi-supervised learning algorithm that leverages both labeled and unlabeled data by training two classifiers on two distinct "views" of the...
- Clusteringv7See also: Machine learning terms Clustering is an unsupervised learning technique that groups a set of data points into clusters so that points in the same...
- AI in collectiblesv3Artificial intelligence in collectibles refers to the use of machine learning and computer vision to grade, authenticate, price, and catalog collectible items...
- Co-Adaptationv5Co-adaptation in neural networks refers to a phenomenon in which different hidden units develop highly correlated behavior, becoming excessively dependent on...
