Tag: AI

Tokenization Trade-Offs: Engineering Perspectives on Memory, Cost and Performance
Deep dive into the computational economics of different AI memory approaches from an implementation standpoint.
Alphonse Kazadi October 22, 2025
AI Integration in Legal Practice
Learn why this legal professional believes the future of legal work is hybrid—where AI streamlines admin tasks, but humans remain essential for high-stakes decisions and precision.
Why Adding Vector Capabilities to the Progress Data Platform Is Essential for the Future of Data
What exactly is a vector, and more importantly, why should you care? In simple terms, a vector is a numeric representation of data. For example, a paragraph of text, an image, or even a sound clip can be transformed into a vector, which is a series of numbers that capture its meaning, context or features. Vectors allow computers to “understand” unstructured data and compare it in ways that traditional databases cannot, both of which are foundational to AI.
Todd Wright October 15, 2025
Stop Playing Prompt Engineer: How Built-in AI Actions in Sitefinity Save Hours of Content Creation
Sitefinity has built-in and customizable AI actions to eliminate complex prompt engineering while dramatically reducing content creation time.
Finding That Needle in Your Media Haystack: AI-Enhanced Image Search Changes Everything
Natural language media search in Sitefinity CMS transforms how marketing teams locate images, replacing metadata guessing games with intuitive descriptions that actually find what you need.

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