CIO

JANUARY 9, 2024

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. We’re using our own databases, testing against our own needs, and building around specific problem sets.

Artificial Inteligence 269

Artificial Inteligence Enterprise Generative AI Technical Review 269

CIO

JULY 14, 2023

Since the release of ChatGPT last November, interest in generative AI has skyrocketed. But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

Generative AI 219

Generative AI Artificial Inteligence Open Source ChatGPT 219

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. It’s the most revolutionary technological development in at least a generation.

Insurance 83

Insurance Artificial Inteligence Data Systems Review 83

Altexsoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59