Glossary

A Data Warehouse is a pivotal hub that combines and stores colossal volumes of organized data from multiple sources. It’s used by firms to drive data-oriented decisions via queries and in-depth analysis using business intelligence tools.

Data Annotation for LLMs composes of tagging or labeling data, integral for training or improving the performance of Large Language Models. It greatly enhances AI accuracy.

Dartmouth Workshop in AI refers to the prestigious 1956 event held at Dartmouth College, which marked the inception of artificial intelligence (AI) as a unique field of research.

Darkforest, a proficient computer Go program, is the innovative work of Facebook’s AI Research team. Leveraging deep learning and Monte Carlo tree search, it enhances Go gaming with advanced functionalities, manifesting as Darkfmcts3.

Crossover in AI refers to the blend of genetic data from two parent solutions, creating new offspring solutions. Inspired by biological sexual reproduction, this process is pivotal to genetic algorithms and evolutionary computation.

Data Augmentation refers to a technique used in machine learning to enhance the quality and quantity of training datasets. This approach ensures better model performance and improved generalizability by creating modified copies of existing data or generating new data points.