IBM Watsonx

watsonx

Developer(s)	IBM
Initial release	May 9, 2023; 13 months ago (2023-05-09)^[1]
Written in	Python
Engine	Multiple large language models (LLMs)
Platform	Cloud computing platforms
Type	Chatbot AI fine-tuning of large language models Generative pre-trained transformer (GPT)
License	Proprietary
Website	www.ibm.com/watsonx

Machine learning and data mining
Part of a series on
Paradigms Supervised learning Unsupervised learning Online learning Batch learning Meta-learning Semi-supervised learning Self-supervised learning Reinforcement learning Curriculum learning Rule-based learning Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning (classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Artificial neural network Autoencoder Cognitive computing Deep learning DeepDream Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Restricted Boltzmann machine GAN Diffusion model SOM Convolutional neural network U-Net Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues ECML PKDD NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
v t e

Watsonx is IBM's commercial generative AI and scientific data platform based on cloud. It offers a studio, data store, and governance toolkit. It supports multiple large language models (LLMs) along with IBM's own Granite.^[2]^[1]

The platform is described as an AI tool tailed to companies and a one which can be customized for customers' needs and trained on their confidential data, as client data is said to be not collected by IBM for further training of their models. It is also capable of fine-tuning, an approach which makes training pre-trained models on the newly introduced data possible.^[3]

^ ^a ^b "IBM Unveils the Watsonx Platform to Power Next-Generation Foundation Models for Business". IBM Newsroom (Press release).
^ Wiggers, Kyle (September 7, 2023). "IBM rolls out new generative AI features and models". TechCrunch.
^ Horsey, Julian (September 5, 2023). "IBM Watsonx AI fine tuning platform for business announced". geeky-gadgets.com.

From Wikipedia, the free encyclopedia · View on Wikipedia