AI & ML Terms

Dense vector representations of data (text, images) in continuous vector space that capture semantic meaning.

AI models trained on vast text data that can understand and generate human language for various tasks.

A subset of AI where systems learn from data to improve performance on tasks without being explicitly programmed.

A branch of AI focused on enabling computers to understand, interpret, and generate human language.

A computing system inspired by biological neural networks, consisting of interconnected nodes that process information in layers.

The practice of designing effective prompts to get desired outputs from AI language models and generative AI systems.

An AI technique that combines information retrieval with text generation to produce more accurate and grounded responses.

A database optimized for storing and querying high-dimensional vector embeddings used in AI and similarity search.