AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
World Wide Web Consortium (W3C) is an international community that develops open standards to ensure the long-term growth of the Web.
A pricing strategy where a core product is sold at a low price, but complementary products are sold at higher prices.
Large-Scale Scrum (LeSS) is a framework for scaling agile product development to multiple teams working on a single product.
An open-ended and creative approach to problem-solving or planning, often involving brainstorming and envisioning future possibilities without constraints.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems.
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies.