Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
Discover how AI learns from data, improves over time, and makes decisions. A beginner-friendly guide to AI training and its real-world applications.
Guide Labs launched Steerling-8B, an 8-billion parameter LLM with interpretable architecture that allows every token to be traced back to its training data.
The dataset used to teach AI models how to perform tasks. It helps systems recognize patterns, make predictions, and improve performance through iterative learning.
A learning approach where AI models train on labeled data with known outcomes. It powers tasks like classification, speech recognition, and predictive analytics across industries.
A modeling issue where an AI system learns training data too precisely, reducing its ability to generalize. Managing overfitting ensures models perform reliably on new, unseen data.
A preset configuration that determines how a machine learning model learns from data. Adjusting hyperparameters like learning rate and depth helps optimize performance and model accuracy.
Deep learning coverage that connects research to reality – new methods, major releases, and the practical tradeoffs behind performance, cost, safety, and scale.