Glossary

A Vector Database is designed for dealing with high-dimensional data quickly and efficiently using a vector model. It’s paramount for tasks involving speedy intricate data recovery such as in AI, machine learning, and big data analytics.

TruthfulQA offers a platform for ensuring language models relay accurate and truthful information when responding to queries, making it a crucial element in AI honesty evaluation.

The Vision Processing Unit (VPU) is a microprocessor that boosts computing tasks related to image/video processing, machine learning, and object detection.

IBM Watson is an innovative, question-answering computer system that interprets and responds to natural language inquiries, formulated under IBM’s DeepQA project.

The definition of A Type System in AI is the methodology applied to categorize and manage data types and structures within AI algorithms and systems. It is an integral element for AI programming and functioning.

Unsupervised Learning is a ML strategy where untagged, unlabeled data trains models, enabling them to act independently, uncovering concealed structures in raw datasets.