Thursday, July 23, 2026
- Individual Fairnessv5Individual fairness is the principle in machine learning that any two individuals who are similar with respect to a task should receive similar algorithmic...
- HumanEvalv11HumanEval is a benchmark for evaluating the code generation capabilities of large language models, consisting of 164 hand-written Python programming problems,...
- InclusionAIv4AI research initiative / open-source AI lab Industry February 2025 Headquarters Zhengyu He (CTO of Ant Group), Richard Bian (product and growth lead), Wu...
- Hyperparameterv12See also: Machine learning terms A hyperparameter is a configuration setting in a machine learning algorithm that is fixed by the practitioner before training...
- Image-to-Text Modelsv6See also: Multimodal Models and Tasks Image-to-text models are machine learning systems that take an image as input and produce natural language text as...
- Humanity's Last Examv10Humanity's Last Exam Abbreviation Multi-modal AI benchmark testing frontier knowledge across 100+ academic subjects, designed to be the most challenging...
- Imbalanced Datasetv6An imbalanced dataset is a dataset used in machine learning where the classification categories are not approximately equally represented, so that one class...
- Hyperplanev6A hyperplane is a flat, affine subspace of dimension n-1 embedded in an n-dimensional space, defined by the linear equation , where w is a normal vector and b...
- Image-to-Image Modelsv5Image-to-image models (often shortened to img2img) are machine learning systems that take an input image and output a transformed version of it. The...
- IFBenchv4IFBench (Instruction Following Benchmark) is an artificial intelligence benchmark that measures whether large language models can follow precise output...
- Implicit Biasv7Implicit bias is an umbrella term that, in artificial intelligence and machine learning, refers to systematic tendencies operating below the surface of...
- IT Management ChatGPT Pluginsv4IT management ChatGPT plugins were a group of third party extensions for ChatGPT focused on tasks that information technology teams handle every day, including...
- Incompatibility of Fairness Metricsv5The incompatibility of fairness metrics (also called the impossibility theorem of fairness or fairness trade-offs) is the proven mathematical result that...
- In-set conditionv4See also: Decision tree, Oblique condition, Threshold for decision trees, Categorical feature An in-set condition is a split condition used inside a decision...
- Hierarchical Clusteringv7Hierarchical clustering is an unsupervised learning method that groups data into a tree of nested clusters, building the hierarchy by repeatedly merging the...
- How to Steal ChatGPT-4, GPT-4 and other Proprietary LLMsv4See also: Guides and Security This article is a defensive and academic survey of how proprietary large language models (LLMs) such as GPT-4, ChatGPT, Claude,...
- Gym (OpenAI Gym / Gymnasium)v8Gym, often written as OpenAI Gym, is an open source Python toolkit for developing and comparing reinforcement learning algorithms, originally released by...
- Ground Truthv7Ground truth is verified, correct information that serves as the authoritative reference for training and evaluating machine learning models. In supervised...
- Health ChatGPT Pluginsv4Health ChatGPT plugins were a now-deprecated category of third-party tools that extended ChatGPT with capabilities for tracking nutrition, exercise, hydration,...
- HealthBench Hardv3HealthBench Hard Abbreviation A 1,000 example curated subset of HealthBench, selected because frontier models score poorly on it Release date 1.0 ...
- Guidesv7See also: Terms, Models and Applications The Guides section of AI Wiki is a curated index of how-to articles, explainer pages, reading lists, and reference...
- Hashingv6See also: Machine learning terms Hashing in machine learning is the use of hash functions to map data of arbitrary size (a word, a URL, a document, a vector)...
- Heuristicv5A heuristic is a practical problem-solving approach that trades optimality, completeness, accuracy, or precision for speed, producing a good-enough answer when...
- HealthBenchv5--- Full name HealthBench Description May 12, 2025 (paper May 13, 2025) Latest version Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, Preston...
- How to Pressure LLMs for Better Outputv5See also: Prompt engineering, Chain-of-thought prompting, LLM anxiety, and Large language model Pressuring large language models (LLMs) is a family of prompt...
- Hidden Layerv10See also: neural network, input layer, output layer, activation function A hidden layer is a layer of artificial neurons in a neural network that sits between...
- Hinge Lossv7Hinge loss is the margin-based loss function defined as max(0, 1 - y f(x)), used to train support vector machines (SVMs) and other maximum-margin classifiers,...
- Healthv5See also: Health ChatGPT Plugins AI in healthcare is the use of artificial intelligence, and especially machine learning, to diagnose disease, discover drugs,...
- HellaSwagv9HellaSwag is a commonsense reasoning benchmark for language models, introduced by Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi in the...
- Group Attribution Biasv6Group attribution bias is the tendency to assume that what is true of one member of a group is true of the entire group, or that a group's collective decision...
- How to Prevent OpenAI and Google From Training Their LLMs on Your Website's Datav4See also: Guides You can stop OpenAI, Google, Anthropic, and most other major AI companies from using your website to train large language models (LLMs) by...
- Hallucinationv8Hallucination in artificial intelligence is the generation of output that is fluent, confident, and plausible but factually incorrect, fabricated, or not...
- Holdout datav5See also: Machine learning terms Holdout data is a portion of a labeled dataset that is deliberately kept out of training so it can be used later to evaluate...
- Grok 3 Jailbreakv4See also: Artificial intelligence terms, Prompt injection, LLM jailbreak, AI safety. Grok 3 jailbreak is the umbrella term for a class of reported...
- GeoAIv4GeoAI, short for geospatial artificial intelligence, is the application of artificial intelligence, especially machine learning and deep learning, to...
- Greedy Policyv6In reinforcement learning, a greedy policy is a decision rule that, in every state, selects the action with the highest estimated value, formally the action...
- Gradient boosted (decision) trees (GBT)v7See also: Machine learning terms, Gradient boosting Gradient boosted decision trees (GBT, also written GBDT, GBM, or GBRT) is an ensemble method that builds a...
- Gradientv6In machine learning, the gradient is the vector of partial derivatives of a loss function with respect to every model parameter, and it points in the direction...
- Generative Modelv8See also: Machine learning terms, Discriminative model A generative model is a class of statistical and machine learning model that learns the joint...
- Graphv4See also: Machine learning terms In machine learning the word graph has two unrelated meanings. The first is a graph as a data structure: a set of nodes...
- GeoBenchv4Geospatial Benchmarks Collection Description June 2023 (GEO-Bench v1) Latest variant Alexandre Lacoste et al. (GEO-Bench), Muhammad Sohail Danish et al....
- Gini Impurityv6See also: Machine learning terms Gini impurity is the probability that a randomly chosen element from a dataset would be incorrectly classified if it were...
- Graph Executionv7Graph execution is a computation paradigm in machine learning frameworks where mathematical operations are organized into a directed acyclic graph (DAG) before...
- Gradient Boostingv10See also: Machine learning terms Gradient boosting is an ensemble machine learning technique that builds a predictive model by combining many weak learners,...
- Grokv11Grok is a family of generative artificial intelligence chatbots and large language models (LLMs) built by xAI, the company founded by Elon Musk. First launched...
- Graph Machine Learning Modelsv4See also: Graph Neural Network, Deep Learning, and Multimodal Models. Graph machine learning models are neural networks designed to operate on data structured...
- Geography ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Geography Geography ChatGPT Plugins were the subset of third party plugins published in the ChatGPT...
- Generatorv7A generator is a neural network within a generative adversarial network (GAN) that learns to produce synthetic data samples from random noise. It maps a point...
- Gradient Descentv10Gradient descent is a first-order iterative optimization algorithm that minimizes a differentiable loss function by repeatedly stepping in the direction of the...
- Gradient clippingv6Gradient clipping is a training technique that caps the magnitude of gradient values before they update model weights, preventing the excessively large...
- Fully Connected Layerv6A fully connected layer (also called a dense layer or linear layer) is a layer in an artificial neural network in which every input value connects to every...
- GPT APIv6The GPT API is the public HTTP interface that OpenAI exposes for programmatic access to its hosted language, vision, audio, image, and video models. The phrase...
- GPT-4v16GPT-4 (Generative Pre-trained Transformer 4) is a large language model developed by OpenAI and released on March 14, 2023. It was the fourth main entry in the...
- GPT Finder 🔍v7--- Information GPT Finder 🔍 Platform GPT Store Model Productivity Description gptfinder.co (Jesse Lau / jesselau76) OpenAI URL 15,000+[5] ...
- Frontier modelsv7Frontier models are the most advanced artificial intelligence models that represent the cutting edge of AI capabilities at any given time. These highly capable...
- GANv7GAN stands for generative adversarial network, a class of deep learning generative models in which two neural networks are trained against each other: a...
- GPT Customizer, File Finder & JSON Action Creatorv6--- Information GPT Customizer, File Finder & JSON Action Creator Platform GPT Store Model Programming Description webcafesoftware.com (Webcafe...
- Full Softmaxv7Full softmax (also called the standard softmax or exact softmax) is the softmax computation that calculates a probability for every possible output class in a...
- GPQA Diamondv7GPQA Diamond is the 198-question hardest subset of the Graduate-Level Google-Proof Q&A Benchmark (GPQA), a set of PhD-level multiple-choice questions in...
- GPT-3v13GPT-3 (Generative Pre-Trained Transformer 3) is a 175-billion-parameter large language model developed by OpenAI and released as a beta API on June 11, 2020,...
- GPQAv8GPQA (Graduate-Level Google-Proof Q&A) is a benchmark of 448 expert-written multiple-choice questions in biology, physics, and chemistry, designed to test...
- FrontierMathv7FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI Abbreviation A benchmark of research-level mathematics problems designed to...
- GPT-2v11GPT-2 is a 1.5 billion parameter language model released by OpenAI in February 2019, and the second model in the GPT (Generative Pre-trained Transformer)...
- GPT Public Directoryv6--- Information GPT Public Directory Platform GPT Store Model Productivity Description Geoffrey Robichaux OpenAI URL 10 November 2023 Free ...
- GPT-1v10GPT-1 is the first model in the GPT (Generative Pre-trained Transformer) series, a 117-million-parameter, 12-layer decoder-only Transformer released by OpenAI...
- GPT Detectorv5--- Information GPT Detector Platform GPT Store Model ?????? Description chatgptbuddy.com OpenAI URL 7K Web Browsing Yes Code Interpreter ...
- GPT-Builders' Assistantv7--- Information GPT-Builders' Assistant Platform GPT Store Model Programming / Productivity Description gendojo.ai OpenAI URL 10,000 Web...
- Feedback Loopv5See also: Machine learning terms A feedback loop in machine learning is a cycle in which a deployed model's predictions influence the real world, and the...
- Few-Shot Learningv9See also: machine learning terms, one-shot learning, zero-shot learning, meta-learning Few-shot learning is a branch of machine learning in which a model...
- Forget Gatev5The forget gate is a sigmoid layer inside a Long Short-Term Memory (LSTM) recurrent neural network that decides, element by element, how much of the previous...
- Fox (benchmark)v8Fox is an evaluation suite for fine-grained, multi-page document understanding by large vision-language models. It was released in May 2024 alongside a model...
- Finance ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Finance Finance ChatGPT Plugins are a now-deprecated category of third-party extensions that, during...
- Fine-tune ChatGPT with Perplexity, Burstiness, Professionalism, Randomness and Sentimentality Guidev4See also: Guides, ChatGPT Guides and Prompt Engineering Guides The perplexity, burstiness, professionalism, randomness, and sentimentality guide is a prompt...
- Figure AIv15--- Private company Industry May 2022 Founder Sunnyvale, California, US Products Over $1 billion Series C at $39 billion post-money valuation...
- Food ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Food Food ChatGPT Plugins were the subset of third-party plugins published in the ChatGPT plugins...
- AI in the food industryv3AI in the food industry refers to the application of artificial intelligence, machine learning, computer vision, and robotics across the food and beverage...
- Feature Setv6See also: Feature, Feature Engineering, Feature Extraction, Feature Vector A feature set is the complete collection of input variables (features, attributes,...
- Feature Extractionv6See also: Machine learning terms, Feature engineering, Dimension reduction Feature extraction is the process of transforming raw data into a smaller set of...
- Feature Importancesv6Feature importances are numeric scores that quantify how much each input feature contributes to the predictions of a machine learning model. The three dominant...
- Feature Vectorv9A feature vector is an n-dimensional, ordered list of numerical values that represents the measurable properties of an object, data point, or observation in a...
- Fine Tuningv8Fine-tuning is a machine learning technique that takes a pre-trained model and further trains it on a smaller, task-specific dataset, adjusting the model's...
- Fill-Mask Modelsv5See also: Natural Language Processing Models and Tasks Fill-mask models are language models trained with a masked language modeling (MLM) objective, in which a...
- Foundation modelsv8See also: Large language model, Self-supervised learning, Transfer learning, Generative artificial intelligence A foundation model is a large machine learning...
- Feedforward Neural Network (FFN)v12A feedforward neural network (FFN), also called a multilayer perceptron (MLP) when it has multiple layers, is a type of artificial neural network in which...
- Feature Extraction Modelsv4Feature extraction models are machine learning systems that transform raw inputs such as text, images, or audio into dense numerical vectors known as...
- Estimatorv5See also: Machine learning terms An estimator is a rule, function, or algorithm that takes observed data and produces a value intended to approximate some...
- Examplev5In machine learning, an example is a single data point that a model trains on or makes a prediction about: in supervised settings it is a pair $(x, y)$ where...
- Experimenter's Biasv5Experimenter's bias (also called the observer-expectancy effect, experimenter expectancy effect, or experimenter effect) is a type of cognitive bias in which a...
- False Negative Ratev6The false negative rate (FNR), also known as the miss rate, is the proportion of actual positive instances that a model or test incorrectly classifies as...
- False positivev8A false positive (FP), also called a Type I error or a false alarm, is an instance whose true label is negative but whose predicted label is positive: the...
- Factorio Learning Environmentv4Factorio Learning Environment Abbreviation An open-ended evaluation framework that uses the industrial automation game Factorio to test long-horizon...
- Feature Engineeringv8Feature engineering is the process of using domain knowledge to create, transform, and select features from raw data so that machine learning models can learn...
- False negativev9A false negative (FN), also called a Type II error or a miss, is an instance whose true label is positive but that a classification model or test predicts as...
- Fashion ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Fashion Fashion ChatGPT Plugins were a small historical category of third-party plugins that connected...
- Equalized Oddsv7Equalized odds is a group fairness criterion in machine learning that requires a classifier's true positive rate (TPR) and false positive rate (FPR) to be...
- Fairness Metricv7A fairness metric is a quantitative, mathematical measure used to evaluate whether a machine learning model's predictions or decisions treat different...
- False Positive Rate (FPR)v5The false positive rate (FPR) is the proportion of actual negative cases that a test, model, or decision process incorrectly classifies as positive, defined as...
- Exploding Gradient Problemv12See also: Machine learning terms, Vanishing gradient problem, Gradient clipping, Backpropagation The exploding gradient problem is a training failure in deep...
- Feature Crossv6See also: Machine learning terms, Feature engineering A feature cross (also called a crossed feature or feature interaction) is a synthetic feature created by...
- Fairness Constraintv6A fairness constraint is an explicit mathematical condition imposed on a machine learning model during training, evaluation, or post-processing that forces its...
