Showing 781-810 of 810 articles
Weight
In machine learning and neural networks, a weight is a learnable numerical parameter that determines the strength of the connection between two neurons....
Neural Networks
Weight Decay
Weight decay is a regularization technique used in training neural networks that shrinks every parameter toward zero by a small fraction on each update step,...
Training & Optimization
Weighted Alternating Least Squares (WALS)
Weighted Alternating Least Squares (WALS), also called implicit Alternating Least Squares (iALS) or weighted regularized matrix factorization (WRMF), is a...
Weighted Sum
A weighted sum is a mathematical operation that combines multiple input values by multiplying each value by a corresponding weight (coefficient) and then...
MathematicsNeural Networks
Weights & Biases
Weights & Biases (commonly abbreviated as W&B or wandb) is a machine learning experiment tracking and model management platform that acts as a system of record...
AI Tools & Products
Wide Model
See also: Machine learning, Deep learning, Recommendation system A wide model is a type of machine learning model that uses a large number of input features,...
Neural Networks
Width
See also: Machine learning terms Width refers to the number of neurons in a specific layer of a neural network. In modern transformer language models, the...
WildChat
WildChat is a large public corpus of real conversations between human users and ChatGPT, released by researchers at the Allen Institute for AI (AI2) and...
Data & Datasets
Wisdom of the Crowd
Wisdom of the crowd is the observation that the aggregate judgment of a large group of individuals often produces more accurate estimates or decisions than any...
Statistics
Wojciech Zaremba
Wojciech Zaremba is a Polish computer scientist and a co-founder of OpenAI, the artificial intelligence research company started in December 2015, where he has...
AI CompaniesPeople
Word Embedding
A word embedding is a learned representation of text in which words are mapped to dense vectors of real numbers in a continuous vector space, so that words...
Deep LearningNatural Language Processing
Word error rate
Word error rate (WER) is the standard metric for measuring the accuracy of an automatic speech recognition (ASR) system, expressed as the fraction of words the...
Model EvaluationNatural Language Processing
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,...
Artificial Intelligence
XGBoost
XGBoost (short for eXtreme Gradient Boosting) is an open-source software library that implements an optimized, distributed version of gradient boosted decision...
AlgorithmsOpen Source AI
XLNet
XLNet is a generalized autoregressive pretraining method for natural language processing that combines the strengths of autoregressive and autoencoding...
Deep LearningNatural Language Processing
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...
Artificial Intelligence
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...
AI CompaniesPeople
Yoshua Bengio
March 5, 1964 (age 62), Paris, France Nationality B.Eng. Computer Engineering, McGill University (1986); M.Sc. Computer Science, McGill University (1988);...
Artificial Intelligence
Z-Score Normalization
See also: Machine learning terms Z-score normalization, also called standardization, standard score normalization, or z-score scaling, is a data preprocessing...
Data & Datasets
Z.ai
Public company (HKEX: 2513) Industry June 11, 2019 Founders Haidian District, Beijing, China Key people GLM (General Language Model) family, ChatGLM,...
AI CompaniesChinese AI
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...
Prompt Engineering
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...
Model EvaluationNatural Language Processing
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:...
Meta AIMultimodal AI
fastText
fastText is an open-source library for learning word embeddings and performing text classification, developed by Facebook AI Research (FAIR) and released to...
Natural Language ProcessingOpen Source AI
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...
Algorithms
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...
Developer ToolsLarge Language Models
t-SNE
t-distributed stochastic neighbor embedding (t-SNE) is a nonlinear dimensionality reduction technique used primarily for visualizing high-dimensional data in...
Data Science
tf.keras
tf.keras is the high-level deep learning API built directly into the TensorFlow machine learning framework, and it has been TensorFlow's official and...
Deep LearningDeveloper Tools
vLLM
vLLM is an open-source large language model serving engine for high-throughput, memory-efficient inference, first released on June 20, 2023 and now the most...
AI Tools & ProductsLarge Language Models
word2vec
word2vec is a family of shallow neural network models, published by Tomas Mikolov and colleagues at Google in 2013, that learns dense vector representations of...
Natural Language Processing