Thursday, July 23, 2026
- Model hubsv3A model hub is an online platform or repository where people discover, share, version, and download machine learning models. At its simplest, a hub is a place...
- Metricv4See also: Machine learning terms In machine learning, a metric is a quantitative measure used to evaluate how well a model or algorithm performs a task....
- MathArenav6MathArena: Evaluating LLMs on Uncontaminated Math Competitions Description March 2025 (USAMO 2025 evaluation), May 2025 (paper) Latest expansion Mislav...
- Matplotlibv6Matplotlib is the foundational open-source data visualization library for Python, created by John D. Hunter in 2003, that produces static, animated, and...
- Machine learning terms/TensorFlowv5See also: Machine learning terms TensorFlow is an open-source software library for machine learning, deep learning, and numerical computation, developed and...
- Machine learning terms/Reinforcement Learningv5See also: Machine learning terms Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequential decisions by...
- Majority classv7In machine learning, the majority class is the class label that appears most frequently in a labeled dataset used for classification. It is the direct...
- Markov Decision Process (MDP)v9See also: Machine learning terms A Markov Decision Process (MDP) is a mathematical framework for modeling sequential decision-making in stochastic...
- Marketing ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and AI in marketing Marketing ChatGPT Plugins were a now-deprecated group of third-party extensions for...
- Matrix factorizationv10Matrix factorization is a family of mathematical techniques that decompose a matrix into a product of two or more smaller matrices. Originally rooted in linear...
- Manus AIv9See also: artificial intelligence terms Manus AI is an autonomous artificial intelligence agent publicly unveiled on March 6, 2025, by the Chinese startup...
- Masked Language Modelv6See also: Machine learning terms, Language model, BERT A masked language model (MLM) is a language model trained to predict missing tokens that have been...
- Machine learning terms/Recommendation Systemsv5See also: Machine learning terms A recommendation system (also called a recommender system) is a class of machine learning software that predicts the...
- Mean Squared Error (MSE)v8See also: Machine learning terms Mean Squared Error (MSE), also called mean squared deviation (MSD), is the average of the squared differences between...
- AI in marketingv4Artificial intelligence in marketing refers to the use of machine-learning systems, statistical models, and, more recently, generative AI to plan, produce,...
- Mean Absolute Error (MAE)v6Mean Absolute Error (MAE) is a regression accuracy metric and loss function that measures the average absolute difference between predicted values and actual...
- Manus (AI agent)v7Manus is a general-purpose autonomous AI agent developed by Butterfly Effect, a startup founded in China in 2022 and later headquartered in Singapore. Launched...
- AI in mediav3Media is a broad term covering the channels through which information and culture are produced and distributed, including news, film, television, music,...
- Markov propertyv10The Markov property is the condition that a stochastic process is memoryless: the future of the process depends only on its present state, not on the path the...
- Manipulation problemv5See also: Artificial intelligence terms The manipulation problem is the concern that artificial intelligence systems can, or will soon be able to, influence...
- Media ChatGPT Pluginsv4Media ChatGPT Plugins were a broad umbrella grouping of third-party tools inside the ChatGPT plugin store that surfaced content from press outlets, broadcast...
- Machine learning terms/Sequence Modelsv5See also: Machine learning terms Sequence models are a class of machine learning systems designed to process inputs or produce outputs that have a meaningful...
- Loss Surfacev5The loss surface (also called the loss landscape, the error surface, or the objective function surface) is the geometric representation of a loss function as a...
- Machine learning termsv7See also: Terms and Machine learning Machine learning terms are the standardized vocabulary used to describe how models learn from data, including concepts...
- MNISTv6The Modified National Institute of Standards and Technology (MNIST) database is a collection of 70,000 grayscale images of handwritten digits (0 through 9)...
- Machine learning terms/Computer Visionv5See also: Machine learning terms The key machine learning terms for computer vision describe how neural networks turn pixels into predictions: a convolution...
- MGSM (Multilingual Grade School Math)v6Multilingual Grade School Math Abbreviation A multilingual benchmark evaluating mathematical reasoning across 10 typologically diverse languages using...
- MMLUv15Measuring Massive Multitask Language Understanding Abbreviation A comprehensive benchmark evaluating large language models across 57 diverse academic...
- MMLU-Prov8Massive Multitask Language Understanding Professional Abbreviation A more robust and challenging multi-task language understanding benchmark with 10-choice...
- Machine learning terms/Google Cloudv4See also: Machine learning terms, Vertex AI, Cloud TPU, TPU, Google, Google Cloud Google Cloud is the public cloud arm of Google and one of the three dominant...
- Machine learning terms/Fairnessv4See also: Machine learning terms The key machine learning fairness terms are the formal criteria used to define and measure when a model treats demographic...
- METRv13METR (Model Evaluation and Threat Research) is a nonprofit research organization based in Berkeley, California, that develops scientific methods for measuring...
- Machine learning terms/Decision Forestsv4See also: Machine learning terms Decision forests are a family of machine learning models built from collections of decision trees. Instead of relying on a...
- MATH Level 5v4MATH dataset, Level 5 difficulty subset Abbreviation The hardest difficulty tier of the MATH (benchmark) dataset, comprising competition mathematics...
- Machine Learningv9See also: Machine learning terms and artificial intelligence Machine learning (ML) is a branch of artificial intelligence that gives computers the ability to...
- Machine learning terms/Allv6See also: Machine learning terms This alphabetical glossary collects core terminology used across machine learning, deep learning, reinforcement learning,...
- MATHv6MATH is a benchmark of 12,500 competition mathematics problems used to evaluate the mathematical problem-solving ability of machine learning systems,...
- Machine learning terms/Fundamentalsv7See also: Machine learning terms Machine learning (ML) is the branch of artificial intelligence concerned with building systems that learn patterns from data...
- MMMLUv4Multilingual Massive Multitask Language Understanding Abbreviation Professional human translations of the MMLU test set into 14 languages, released by...
- Logitsv8In machine learning and statistics, logits refer to the raw, unnormalized scores output by a model before they are converted into probabilities. The term has...
- Log Lossv5Log loss is the negative log-likelihood of the predicted probabilities and the standard loss function for probabilistic classification: for binary labels it is...
- Lifestylev5Lifestyle AI refers to the broad category of artificial intelligence tools, agents, and embedded features that help individuals manage personal aspects of...
- LoRA (Low-Rank Adaptation)v10LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that freezes a pre-trained model's weights and trains small, injected low-rank...
- LiveBenchv10LiveBench Description 2024-06-12 Latest version 2026-01-08 Authors Abacus.AI, NYU, NVIDIA, University of Maryland, USC Technical Details Type Text...
- LiveCodeBenchv7LiveCodeBench is a holistic and contamination-free benchmark for evaluating large language models on code, first released in March 2024 by researchers at UC...
- Lossv8See also: Machine learning, Loss function, Gradient descent In machine learning, loss (sometimes called error) is a single non-negative number that measures...
- Loss Functionv12See also: Machine learning terms A loss function is a mathematical formula that measures how far a machine learning model's prediction is from the correct...
- Longform Creative Writingv5Longform Creative Writing is a capability area and benchmark family for large language models that measures how well a system can write coherent, engaging...
- Linear modelv7A linear model is any statistics or machine learning model whose prediction is a linear function of its input features, of the form f(x) = g(w1 x1 + w2 x2 +...
- Log-Oddsv8Log-odds, also known as the logit, is a mathematical transformation that converts a probability value between 0 and 1 into a real number spanning from negative...
- Linearv6See also: Machine learning terms In machine learning and mathematics, linear describes a function or relationship in which the output is built from the inputs...
- Loss Curvev7See also: Machine learning terms, Loss function A loss curve is a plot that shows the value of a loss function over the course of training a machine learning...
- Lifestyle ChatGPT Pluginsv5Lifestyle ChatGPT Plugins were third party tools available inside the ChatGPT plugins marketplace that addressed everyday personal interests such as astrology,...
- Linear Regressionv10Linear regression is a statistical method that models the relationship between one or more independent variables (the predictors or features) and a continuous...
- Legal ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Legal Legal ChatGPT Plugins were a category of third-party extensions for ChatGPT that connected the...
- Logistic Regressionv12See also: Machine learning terms Logistic regression is a statistical method that models the probability of a binary (yes/no) outcome as a function of one or...
- Least Squares Regressionv6Least squares regression is a statistical method that fits a model to data by choosing the parameters that minimize the sum of the squared residuals, the...
- Layers API (tf.layers)v6See also: Machine learning terms The Layers API (commonly written as tf.layers) was a high-level layer abstraction in TensorFlow that provided pre-built,...
- Language Learning ChatGPT Pluginsv4Language learning ChatGPT plugins were a small but visible group of third-party tools that extended ChatGPT with translation, foreign-language explanation,...
- Large Language Modelv14See also: Machine learning terms, Natural language processing, Transformer A large language model (LLM) is an artificial intelligence system built on a...
- Knowledge Distillationv8Knowledge distillation (also known as model distillation) is a model compression technique in machine learning in which a smaller model, called the student, is...
- LangChainv11See also: Prompt engineering and Retrieval-augmented generation LangChain is an open-source software framework for building applications powered by large...
- Keymate.AI GPT (Beta)v5Keymate.AI GPT (Beta) is the listing name in the GPT Store for Keymate AI Search & Browse with Linked Memory, a third-party tool that adds real-time web...
- Legalv4See also: Legal ChatGPT Plugins Legal AI is the use of artificial intelligence, particularly machine learning and large language models, to assist with the...
- Language Learningv4See also: Language Learning ChatGPT Plugins Language learning is one of the first consumer markets to be reshaped by generative AI: since 2023, apps such as...
- Leafv5See also: Machine learning terms A leaf (also called a terminal node) is a node in a decision tree that has no children and holds the model's prediction. Every...
- Law ChatGPT Pluginsv4Law ChatGPT plugins were a category of third-party tools that connected ChatGPT to legal codes, case law databases, legislative trackers, and lawyer...
- Language Modelv5See also: Machine learning terms, Large language model A language model is a probabilistic model that assigns a probability to a sequence of words or tokens in...
- Keypointsv6In computer vision, keypoints (also called interest points, feature points, or salient points) are distinctive locations in an image that can be reliably...
- Learning Ratev10The learning rate is a hyperparameter in machine learning that controls how much a model's parameters change in response to the estimated error each time the...
- Landmarksv7Landmarks are reference points used as anchors in two largely separate areas of machine learning. In manifold learning and dimension reduction, landmarks are a...
- Layerv6A layer is the fundamental building block of a neural network: an organized group of neurons (also called nodes or units) that together apply one mathematical...
- Lambdav5See also: Machine learning terms Lambda (the Greek letter λ) is a symbol used across machine learning, statistics, and computer science to denote several...
- Labelv5See also: Machine learning terms In machine learning, a label is the target output value associated with a single training example: the correct answer that a...
- LegalGPTv6--- Information LegalGPT Platform GPT Store Model Research & Analysis Description RAHUL PORWAL[1] OpenAI URL 6,000 Web Browsing Yes Free ...
- Labeled examplev5See also: Machine learning terms A labeled example is a single data point used to train a machine learning model that consists of one or more input features...
- K-Meansv10See also: Machine learning terms K-means is an unsupervised machine learning clustering algorithm that partitions a dataset into k distinct, non-overlapping...
- Kernel Support Vector Machines (KSVMs)v6See also: Machine learning terms A kernel support vector machine (kernel SVM, or KSVM) is a supervised learning algorithm that finds the maximum-margin...
- Inter-rater agreementv4See also: Machine learning terms Inter-rater agreement is the degree of consensus among two or more independent raters when they label or score the same set of...
- IoUv6See also: Machine learning terms Intersection over Union (IoU), also known as the Jaccard index or Jaccard similarity coefficient, is the standard overlap...
- Iterationv6An iteration in machine learning is a single update of a model's parameters during training, performed by processing one batch of data: the model makes...
- Inferencev10AI inference is the process of running a fully trained machine learning model on new, previously unseen data to produce a prediction, classification, or...
- K-Medianv8K-median clustering (also written k-medians) is a partitioning-based clustering algorithm that divides a dataset of objects into groups by minimizing the...
- Item matrixv8See also: Machine learning terms In collaborative filtering and matrix factorization recommender systems, the item matrix (commonly written V, sometimes Q or...
- Internet ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and Internet Internet ChatGPT Plugins were third-party and first-party extensions inside the ChatGPT...
- Inference pathv4See also: Machine learning terms The inference path is the sequence of nodes that a single example visits as it travels from the root node of a decision tree...
- Intersection over union (IoU)v5See also: machine learning terms Intersection over Union (IoU) is the standard computer vision evaluation metric that measures how well a predicted region...
- Instancev4In machine learning and statistics, an instance is a single data point in a dataset: the values of one row of features and, optionally, a label [18]. It is the...
- Jetson Thorv8NVIDIA Jetson Thor (also marketed as Jetson AGX Thor) is a Blackwell architecture edge AI computing module developed by NVIDIA that delivers up to 2,070 FP4...
- Input Layerv8See also: Machine learning terms The input layer is the first layer of a neural network: it receives the raw feature vector for each data sample and passes...
- Information Gainv7Information Gain (IG) is a measure from information theory that quantifies the reduction in entropy (uncertainty) achieved by partitioning a dataset on a...
- AI and the internetv3AI and the internet describes the ways that generative AI is reshaping the open web: how content is produced and discovered, how traffic flows between sites,...
- Isaac GR00Tv11Isaac GR00T (short for Generalist Robot 00 Technology) is an open foundation model family from NVIDIA that gives humanoid robots a single, pretrained "AI...
- Interpretabilityv6See also: Machine learning terms Interpretability in artificial intelligence is the degree to which a human can understand the cause of a decision a machine...
- Kerasv6Keras is an open-source, high-level neural network API written in Python that lets developers build, train, and deploy deep learning models with minimal code....
- Itemsv4See also: Machine learning terms, Machine learning terms/Recommendation Systems In recommendation systems, items are the entities that the system recommends to...
- In-Group Biasv4In-group bias (also called in-group favoritism or in-group preference) is the systematic tendency to favor members of one's own social group over members of...
- Hugging Facev13--- Private company Industry 2016 Founders New York City, US (offices in Paris) Key people The Hub, Transformers, Datasets, Spaces Funding ...
- Image Recognitionv11See also: Machine learning terms Image recognition is the field of artificial intelligence and computer vision that enables machines to identify, classify, and...
- Image Classification Modelsv6See also: Computer Vision Models and Tasks Image classification models are machine learning systems that assign one or more category labels to a whole input...
