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.
The series of actions or operations involved in the acquisition, interpretation, storage, and retrieval of information.
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
Design strategies aimed at preventing user errors before they occur.
Simple Object Access Protoco (SOAPl) is a protocol for exchanging structured information in web services.
Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain.
Enterprise Architecture (EA) is a strategic framework used to align an organization's business strategy with its IT infrastructure.
The hardware and software environment used to deploy and manage applications and services.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.