News & Insights

GPT — Generative Pre-Trained Transformer — is a language model that can interpret text, understand its context, and formulate natural-sounding, human-like responses.

An F1 score — also known as F-score or F-measure — measures a machine learning model's accuracy. It's made up of two key elements: precision and recall.

Entity recognition is the process that enables AI to accurately grasp the meaning of text. 

A domain model encompasses all the knowledge AI needs in order to understand a particular topic or perform a specific activity.

Classifiers are machine learning algorithms that learn the characteristics of the data they're exposed to and organize it into predetermined categories.

Thursday, June 15, 2023 Ken Dummitt, Jaid’s new Chief Revenue Officer, brings significant experience in global enterprise B2B software sales with a focus on the financial services industry. His proven track record includes a demonstrated…

BERT is a machine learning framework for natural language processing. It trains AI to interpret the meaning of everyday human speech and text, and to formulate a natural-sounding and appropriate response.

AI, or artificial intelligence, is software that mimics the human brain. It can learn how to perform specific tasks by processing a huge amount of similar examples.

WHITE PAPER Ecosystem collaboration can be a key factor for business scalability and growth but managing information security is critical. Learn how Jaid, using cloud-based AI models, allows clients to seamlessly open-up data to third…