Generative AI and LLM glossary

Learning Techniques

A machine learning technique where a model developed for one task is reused for a different but related task.

Deep Learning

A transformer is a neural architecture that uses attention to relate tokens in a sequence; most frontier LLMs are transformers.

Models

TTS, text-to-speech, synthesizes spoken audio from text, sometimes with voice cloning or style controls.

Machine Learning

A type of machine learning that deals with data that has no labels, aiming to find hidden patterns or intrinsic structures.

Reinforcement Learning

A learning paradigm where agents learn optimal behaviors through exploration without labeled feedback.

Model Evaluation

Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.

Generative Models

A generative model that learns to represent data in a latent space using variational inference.

Retrieval

In AI search, a vector is a list of numbers that locates an item in embedding space so nearby vectors can be retrieved as similar.

Retrieval

A vector database stores embedding vectors and runs similarity search, usually with metadata filters and optional hybrid lexical queries.

Retrieval

Vector search retrieves semantically similar items by comparing embedding vectors rather than relying only on exact keyword overlap.

Data Analysis

Software applications used to create graphical representations of data.

data measurement

A unit of digital information equal to one septillion bytes, or 1,024 zettabytes.

Machine Learning

A machine learning approach where the model predicts classes that it has not seen during training.