World model
A world model is an artificial intelligence system that learns an internal representation of how an environment works, enabling it to predict future states, simulate the consequences of actions, and support…
Machine Learning
Explore learning methods, model architectures, datasets, and practical applications.
Explore articles
Browse subtopics (63)
Articles that also belong to these categories. Counts cover all of Machine Learning.
All articles (858)Deep Learning (187)Natural Language Processing (92)Statistics (90)Training & Optimization (70)Data & Datasets (65)Neural Networks (58)Reinforcement Learning (58)Model Evaluation (55)Artificial Intelligence (54)Large Language Models (49)Mathematics (48)Computer Vision (41)AI Ethics (35)AI Infrastructure (29)AI Safety (26)Open Source AI (25)Data Science (24)AI Benchmarks (22)Developer Tools (20)Algorithms (18)AI Hardware (17)AI Tools & Products (17)Google (16)Generative AI (14)Information Retrieval (14)Model Architecture (13)People (13)AI Agents (12)Interpretability (12)Robotics (12)AI Companies (11)Transformer Models (11)AI Inference (10)MLOps (10)AI Models (8)Computer Science (8)AI Code Generation (7)AI Research (7)Multimodal AI (7)Speech & Audio AI (7)Chinese AI (6)AI Policy & Regulation (5)Meta AI (5)Programming Languages (5)AI History (4)AI for Science (4)Prompt Engineering (4)AI Alignment (3)AI Events (3)Reasoning Models (3)Embodied AI (2)Software Development (2)2025 in artificial intelligence (1)Anthropic (1)Diffusion Models (1)Drug Discovery (1)Education AI (1)Enterprise AI (1)Healthcare AI (1)Image Generation (1)NVIDIA (1)Small Language Models (1)World Models (1)
Showing 841-858 of 858 articles
XGBoost
XGBoost (short for eXtreme Gradient Boosting) is an open-source software library that implements an optimized, distributed version of gradient boosted decision trees, and it is one of the most widely used…
XLNet
XLNet is a generalized autoregressive pretraining method for natural language processing that combines the strengths of autoregressive and autoencoding language models.
Yann LeCun
Yann Andre LeCun (born July 8, 1960) is a French-American computer scientist, a pioneer of convolutional neural networks (CNNs) and deep learning, and a 2018 ACM A.M. Turing Award laureate often called one of…
Yoav Shoham
Yoav Shoham is an Israeli and American computer scientist known for foundational research in multi-agent systems and the use of game theory and formal logic in artificial intelligence
Yoshua Bengio
Yoshua Bengio (born March 5, 1964) is a Canadian computer scientist whose research has focused on deep learning, representation learning, neural language models, and generative models.
Z-Score Normalization
Z-score normalization, also called standardization, standard score normalization, or z-score scaling, is a data preprocessing technique that transforms a numerical feature so that it has a mean of 0 and a…
Z.ai
Z.ai is the international brand of the Chinese artificial intelligence company Zhipu AI (智谱AI), a 2019 spinout from Tsinghua University that builds the open-weight General Language Model (GLM) family and…
Zero shot, one shot and few shot learning
Zero-shot, one-shot, and few-shot learning are three related settings in machine learning and prompt engineering defined by how many labelled examples a model sees of a target task or class before making a…
chrF
chrF is a machine translation evaluation metric that scores a candidate translation by counting the character n-grams it shares with one or more reference translations, then combining character n-gram…
data2vec
data2vec is a self-supervised learning framework from Meta AI (then Facebook AI Research) that applies the same training method to three different input types: speech, computer vision, and text.
fastText
fastText is an open-source library for learning word embeddings and performing text classification, developed by Facebook AI Research (FAIR) and released to the public on August 18, 2016 .
k-Nearest Neighbors
k-Nearest Neighbors (often abbreviated k-NN or KNN) is a non-parametric, instance-based supervised learning algorithm that classifies a new data point by finding the k most similar examples in the training set…
llama.cpp
llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language models on consumer-grade hardware without…
t-SNE
t-distributed stochastic neighbor embedding (t-SNE) is a nonlinear dimensionality reduction technique used primarily for visualizing high-dimensional data in two or three dimensions.
tf.keras
tf.keras is the high-level deep learning API built directly into the TensorFlow machine learning framework
vLLM
vLLM is an open-source inference and serving engine for large language models. It is software for running already trained models, either through a Python interface for offline work or through a network server…
word2vec
word2vec is a family of shallow neural network models, published by Tomas Mikolov and colleagues at Google in 2013