TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Why Vision Models Matter For Unstructured Enterprise Data

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
Forbes

Data Quality For Business: Metrics To Measure And Understand

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...
WinBuzzer

AI Coding: Microsoft’s 7B X-Coder Outperforms 14B Rivals on Synthetic Data

Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...
VentureBeat

Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...
TechRepublic

The different data model types and their uses

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...