Jason Guarracino

Nov 27, 2024 | bigdatawire.com | Alex Woodie |Jason Guarracino

Recent advancements in AI have brought forth a new generation of tools that can process and generate human-like content across multiple modalities. At the forefront of this revolution are Large Language Models (LLMs) and Generative AI. While both fall under the broad umbrella of artificial intelligence, they serve different purposes and excel in distinct areas. LLMs, like OpenAI’s GPT series or Google’s Gemini, are AI systems trained on vast amounts of textual data.

Oct 10, 2024 | solutionsreview.com | Jason Guarracino

BigEye’s Jason Guarracino offers insights on key ways context engines revolutionize AI development. This article originally appeared on Solutions Review’s Insight Jam, an enterprise IT community enabling the human conversation on AI. Context engines are the next step in AI that looks like how we pictured it as children when we pictured “the future”: an AI that grasps the subtle nuances of your words and responds with the wisdom of a sage and the intuition of a close friend.

Aug 27, 2024 | datasciencecentral.com | Aria Barnes |Alan Morrison |Jason Guarracino

AI is revolutionizing the world by leaps and bounds, transforming how businesses can benefit from it across different domains. New trends emerge and expand the scope of artificial intelligence, especially to help AI-based systems adjust to ever-changing market demands. One such neoteric form of this advanced technology is ‘Adaptive AI’. This subset of artificial intelligence leverages AI algorithms that learn from new experiences, ensuring flexibility and modifying system behavior.

Aug 9, 2024 | datasciencecentral.com | Jason Guarracino |Ryan Williamson |Dan Wilson

A machine learning (ML) data catalog is a system that leverages machine learning and metadata to automate data management processes. It minimizes manual effort and enhances data accuracy through automated models. If you’re looking to understand ML data catalogs, we’ll cover it here.

Jul 31, 2024 | clouddatainsights.com | Jason Guarracino

Is product design a human problem or a technology problem? You would probably argue that it is both. Product design, at its best, combines the efficiencies and automations of technology with human-centric thinking and intuition. When designing products that incorporate generative AI, it may feel that you are tipping in the direction of being too technology-focused. You might be tempted to forego human intuition in order to develop products that embrace AI’s innovation.