Wednesday, March 18, 2026
- NVIDIA Blackwellv17NVIDIA Blackwell is a family of graphics processing unit architectures and computing platforms developed by NVIDIA.
- Nvidiav19Nvidia Corporation is an American technology company that designs graphics processing units (GPUs) and is the world's dominant supplier of hardware for artificial intelligence
- NLUv9Natural Language Understanding (NLU) is the subfield of artificial intelligence and natural language processing that turns unstructured human language into structured representations a computer can act on…
- N-gramv7An n-gram is a contiguous sequence of n items extracted from a given sample of text or speech, where the items can be characters, syllables, words, or other linguistic units.
- Music ChatGPT Pluginsv5Music ChatGPT plugins were a category of third-party extensions for ChatGPT that let the chatbot generate streaming playlists, recommend and surface songs, convert music notation to audio and sheet music…
- Musicv5AI in music is the use of artificial intelligence, especially machine learning and generative AI, to compose, perform, mix, master, transcribe, voice-clone, and reproduce music.
- Multinomial regressionv6Multinomial regression is a statistical model that predicts which one of K possible categories an observation belongs to, given a vector of input features.
- Multinomial classificationv6Multinomial classification, also called multiclass or multi-class classification, is the supervised learning task of assigning each input to exactly one of K possible classes, where K is greater than two.
- Multimodal Modelv8A multimodal model is a machine learning model, or a model-based system, that processes, relates, or produces information across more than one kind of data. Each kind is called a modality.
- Multi-Head Self-Attentionv9Multi-head self-attention is the core sequence-mixing mechanism of the Transformer architecture: it runs several scaled dot-product attention operations ("heads") in parallel over different learned projections…
- Multi-head Latent Attentionv12Multi-head Latent Attention (MLA) is an attention mechanism for transformer models that achieves a 93.3% reduction in key-value cache size while maintaining or exceeding the performance of traditional…
- Multi-Class Logistic Regressionv7Multi-class logistic regression, also known as multinomial logistic regression, softmax regression, or the maximum entropy (MaxEnt) classifier
- Multi-Class Classificationv7Multi-class classification is a supervised learning task in machine learning that assigns each input to exactly one of three or more mutually exclusive classes.
- Moviesv8Artificial intelligence has been one of the most durable subjects in cinema since at least the 1920s, when Fritz Lang's Maschinenmensch in Metropolis (1927) set the template for the screen robot.
- Moonshot AIv22Moonshot AI is a Beijing-based artificial intelligence company that develops the Kimi chatbot, large language models, and agent software. The company says it was founded in early 2023.
- Momentumv8Momentum is an optimization technique that accelerates gradient descent by accumulating an exponentially weighted moving average of past gradients into a velocity vector and using that velocity, rather than…
- Model trainingv7Model training is the process by which a machine learning system learns parameter values, model structure, or both from data or interaction.
- Model Parallelismv10Model parallelism is a distributed training and inference technique that splits a single neural network across multiple processing units so that no individual accelerator has to hold the entire model.
- Model hubsv4A model hub is an online platform or repository where people discover, share, version, and download machine learning models.
- Mistral AIv14Mistral AI is a French artificial intelligence company that develops large language models, multimodal models, software for building and operating AI systems, and computing infrastructure.
- Minority classv7In an imbalanced classification problem, the minority class is the class label with far fewer training examples than the others, and it is almost always the outcome you actually care about (fraud, disease…
- Minimum Viable Agentv5A Minimum Viable Agent (MVA) is the simplest valid implementation of an AI agent: a program in which a large language model calls tools in a loop, observes the results, and decides on its own when to stop.
- Minimax Lossv6Minimax loss is a loss function rooted in game theory and decision theory that measures the worst-case performance of a strategy, algorithm, or model.
- MiniMaxv16MiniMax (稀宇科技; listed as MiniMax Group Inc.) is a publicly traded artificial intelligence (AI) company headquartered in Shanghai, China that develops large language models, multimodal AI systems, and…
- Mini-batch stochastic gradient descentv6Mini-batch stochastic gradient descent (often shortened to mini-batch SGD or MB-SGD) is the optimization algorithm used to train almost every modern neural network: it updates a model's parameters by…
- Mini-batchv6A mini-batch is a small, randomly sampled subset of the training dataset used to compute a single update to a model's parameters during training.
- Midjourneyv9Midjourney is an artificial intelligence image generation service and independent research lab headquartered in San Francisco, California
- MidJourney Prompt Generatorv6MidJourney Prompt Generator is a generic category name that refers to the broad class of tools, custom GPTs, and prompt templates that help users compose effective text prompts for Midjourney
- Microsoft Copilotv11Microsoft Copilot is the umbrella brand that Microsoft uses for its generative AI assistants and agents across consumer, developer, and enterprise products, and since August 2026 it is also the name of a…
- Microsoft 365 Copilotv14Microsoft 365 Copilot is an artificial intelligence assistant developed by Microsoft that integrates large language models (LLMs) with the Microsoft 365 suite of productivity applications.
- Metrics API (tf.metrics)v5The Metrics API in TensorFlow is a collection of classes and utilities for computing evaluation scores that summarize how well a model is doing.
- Metricv5In machine learning, a metric is a quantitative measure used to evaluate how well a model or algorithm performs a task.
- Meta Promptingv6Meta prompting (also spelled meta-prompting) is an advanced prompt engineering technique where large language models (LLMs) are used to generate, refine, critique, select, or optimize prompts for themselves or…
- Meta AIv20Meta AI is the name Meta Platforms uses for two related but distinct things: the company's artificial intelligence research and engineering organization
- Meta-Learningv11Meta-learning, often called "learning to learn", is a branch of machine learning in which a model is trained across many different tasks so that it can master a new task from only a handful of examples or a…
- Media ChatGPT Pluginsv5Media ChatGPT Plugins were a broad umbrella grouping of third-party tools inside the ChatGPT plugin store that surfaced content from press outlets, broadcast brands, comic syndicates, and cross-format…
- AI in Mediav6AI in media is the use of artificial intelligence to help create, transform, organize, distribute, recommend, moderate, measure, or authenticate media.
- Mean Squared Error (MSE)v9Mean Squared Error (MSE), also called mean squared deviation (MSD), is the average of the squared differences between predicted values and actual (observed) values.
- Mean Absolute Error (MAE)v7Mean Absolute Error (MAE) is a regression accuracy metric and loss function that measures the average absolute difference between predicted values and actual observed values
- Matrix factorizationv11Matrix factorization is a family of mathematical techniques that decompose a matrix into a product of two or more smaller matrices.
- Matplotlibv8Matplotlib is the foundational open-source data visualization library for Python, created by John D. Hunter in 2003, that produces static, animated, and interactive plots and serves as the de-facto plotting…
- MathArenav7MathArena is a public, continuously updated leaderboard and evaluation platform that measures the performance of large language models on mathematics competition problems released after each model's training…
- Masked Language Modelv7A masked language model (MLM) is a language model trained to predict missing tokens that have been hidden in a sequence of text, using context from both the left and the right of each blank.
- Markov propertyv11The 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 process took to reach that state.
- Markov Decision Process (MDP)v10A Markov Decision Process (MDP) is a mathematical framework for modeling sequential decision-making in stochastic environments.
- Marketing ChatGPT Pluginsv5Marketing ChatGPT Plugins were a now-deprecated group of third-party extensions for ChatGPT that helped marketers research audiences, draft content, build websites, and connect ChatGPT to existing martech…
- AI in marketingv5Artificial intelligence in marketing refers to the use of machine-learning systems, statistical models, and, more recently, generative AI to plan, produce, target, deliver, and measure marketing and…
- Manus AIv11Manus AI is an autonomous artificial intelligence agent publicly unveiled on March 6, 2025, by the Chinese startup Butterfly Effect (also known as Monica.im).
- Manus (AI agent)v8Manus is a general-purpose autonomous AI agent developed by Butterfly Effect, a startup founded in China in 2022 and later headquartered in Singapore.
- Manipulation problemv6The manipulation problem is the concern that artificial intelligence systems can, or will soon be able to, influence human users with a precision and scale that bypasses their ability to make informed…
- Majority classv8In machine learning, the majority class is the class label that appears most frequently in a labeled dataset used for classification.
- Machine learning terms/TensorFlowv6TensorFlow is an open-source software library for machine learning, deep learning, and numerical computation, developed and maintained by Google and first released to the public under the Apache 2.0 license on…
- Machine learning terms/Sequence Modelsv6Sequence models are a class of machine learning systems designed to process inputs or produce outputs that have a meaningful order.
- Machine learning terms/Reinforcement Learningv6Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequential decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.
- Machine learning terms/Recommendation Systemsv6A recommendation system (also called a recommender system) is a class of machine learning software that predicts the preference a user would give to an item
- Machine learning terms/Natural Language Processingv9Natural Language Processing (NLP) is the subfield of artificial intelligence and machine learning concerned with enabling computers to read, interpret, generate, and reason about human language in text and…
- Machine learning terms/Google Cloudv5Google Cloud is the public cloud arm of Google and one of the three dominant providers of machine learning infrastructure, alongside Amazon Web Services and Microsoft Azure.
- Machine learning terms/Fundamentalsv8Machine learning (ML) is the branch of artificial intelligence concerned with building systems that learn patterns from data rather than following explicitly programmed rules.
- Machine learning terms/Fairnessv5The key machine learning fairness terms are the formal criteria used to define and measure when a model treats demographic groups equitably, together with the named biases that make models unfair.
- Machine learning terms/Decision Forestsv5Decision forests are a family of machine learning models built from collections of decision trees.
- Machine learning terms/Computer Visionv6The key machine learning terms for computer vision describe how neural networks turn pixels into predictions: a convolution slides a small learned filter (kernel) across an image to detect patterns, a…
- Machine learning terms/Clusteringv7Clustering is a class of unsupervised machine learning techniques that partition a set of objects into groups, called clusters
- Machine learning terms/Allv7This alphabetical glossary collects core terminology used across machine learning, deep learning, reinforcement learning, large language models, and TensorFlow tooling.
- Machine learning termsv9Machine learning terms are the vocabulary used to describe data, models, training procedures, evaluation methods, and deployed behavior.
- Machine Learningv10Machine learning (ML) is a branch of artificial intelligence that gives computers the ability to learn from data and improve their performance on tasks without being explicitly programmed.
- MNISTv7The Modified National Institute of Standards and Technology (MNIST) database is a collection of 70,000 grayscale images of handwritten digits (0 through 9) that has served as one of the most widely used…
- MMMUv10MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark) is a multimodal AI benchmark of 11,550 college-level questions that pairs text with images to test expert knowledge and…
- MMMLUv5MMMLU (Multilingual Massive Multitask Language Understanding) is a multilingual evaluation dataset published by OpenAI on September 23, 2024.
- MMLU-Prov9MMLU-Pro (Massive Multitask Language Understanding Professional) is an artificial intelligence benchmark of 12,032 ten-choice questions across 14 academic domains
- MMLUv17MMLU, short for Massive Multitask Language Understanding, is an English-language AI benchmark for evaluating broad academic and professional knowledge through four-option multiple-choice questions.
- MGSM (Multilingual Grade School Math)v7MGSM (Multilingual Grade School Math) is a multilingual benchmark that measures the mathematical reasoning ability of large language models by taking 250 grade-school math word problems from GSM8K and…
- METRv17METR (Model Evaluation and Threat Research) is a nonprofit research organization based in Berkeley, California, that develops scientific methods for measuring the autonomous capabilities of frontier AI systems…
- MATH Level 5v5MATH Level 5 is the hardest difficulty tier of the MATH (benchmark) dataset introduced by Dan Hendrycks and colleagues in the 2021 paper Measuring Mathematical Problem Solving With the MATH Dataset.
- MATHv7MATH is a benchmark of 12,500 competition mathematics problems used to evaluate the mathematical problem-solving ability of machine learning systems, particularly large language models.
- Loss Surfacev6The 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 function of the model's parameters.
- Loss Functionv14A loss function assigns a numerical cost to a prediction, decision, or action after an outcome is observed.
- Loss Curvev8A loss curve is a plot that shows the value of a loss function over the course of training a machine learning model.
- Lossv9In machine learning, loss (sometimes called error) is a single non-negative number that measures how far a model's prediction is from the correct answer
- Longform Creative Writingv6Longform Creative Writing is a capability area and benchmark family for large language models that measures how well a system can write coherent, engaging fiction or narrative non-fiction over thousands of…
- Logitsv9In machine learning and statistics, logits refer to the raw, unnormalized scores output by a model before they are converted into probabilities.
- Logistic Regressionv14Logistic regression is a statistical model for a binary response. It represents the conditional probability of one outcome as the logistic transformation of a linear predictor.
- Log Lossv6Log loss is the negative log-likelihood of the predicted probabilities and the standard loss function for probabilistic classification: for binary labels it is computed as…
- Log-Oddsv9Log-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 infinity to positive infinity.
- LoRA (Low-Rank Adaptation)v12Low-Rank Adaptation, usually abbreviated LoRA, is a parameter-efficient fine-tuning method for adapting a pre-trained model.
- LiveCodeBenchv8LiveCodeBench is a holistic and contamination-free benchmark for evaluating large language models on code, first released in March 2024 by researchers at UC Berkeley, MIT, and Cornell led by Naman Jain.
- LiveBenchv11LiveBench is a contamination-limited benchmark for large language models (LLMs) that draws frequently updated questions from recent sources (math competitions, arXiv papers, news articles, and datasets) and…
- List of ChatGPT Pluginsv10The List of ChatGPT Plugins is a directory of the third party and first party plugins that operated inside OpenAI's ChatGPT product between March 2023 and April 2024.
- Linear Regressionv11Linear regression is a statistical method that models the relationship between one or more independent variables (the predictors or features) and a continuous dependent variable (the response) by fitting a…
- Linear modelv8A 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(w_1 x_1 + w_2 x_2 + ... + w_p x_p + b)
- Linearv7In machine learning and mathematics, linear describes a function or relationship in which the output is built from the inputs only through addition and multiplication by constants.
- Lifestyle Custom GPTsv6Lifestyle Custom GPTs are user-built versions of ChatGPT listed under the Lifestyle category of the GPT Store, OpenAI's public marketplace for Custom GPTs.
- Lifestyle ChatGPT Pluginsv6Lifestyle ChatGPT Plugins were third party tools available inside the ChatGPT plugins marketplace that addressed everyday personal interests such as astrology, fashion, food, gardening, parenting, and…
- Lifestylev6Lifestyle AI refers to the broad category of artificial intelligence tools, agents, and embedded features that help individuals manage personal aspects of daily life: travel planning, fitness and health…
- Legal ChatGPT Pluginsv5Legal ChatGPT Plugins were a category of third-party extensions for ChatGPT that connected the assistant to legislative trackers, regulatory feeds, statutory codes, court opinion databases, and contract review…
- LegalGPTv8LegalGPT is a Custom GPT for ChatGPT in the GPT Store. Built by Rahul Porwal on OpenAI's GPT-4 model, it is positioned as a research and analysis assistant for lawyers, paralegals, students, and clients who…
- Legalv5Legal AI is the use of artificial intelligence, particularly machine learning and large language models, to assist with the work of lawyers, judges, regulators, and self-represented litigants.
- Least Squares Regressionv7Least 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 squared differences between the observed values and the…
- Learning Ratev12The learning rate is a hyperparameter that scales an update made by an iterative optimization algorithm. In machine learning, it is commonly written as η or α.
- Leafv6A leaf (also called a terminal node) is a node in a decision tree that has no children and holds the model's prediction.
- Layers API (tf.layers)v7The Layers API (commonly written as tf.layers) was a high-level layer abstraction in TensorFlow that provided pre-built, modular components for assembling neural networks.
