OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
IEEE

Improved GPT2 Event Extraction Method Based on Mixed Attention Collaborative Layer Vector

Abstract: As internet information expands rapidly, extracting valuable event information from unstructured text has become an important research topic. This paper proposes an improved GPT2 model, ...
Forbes

How Leaders Can Make Unstructured Data Usable For GenAI—And Maximize ROI

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...
Geeky Gadgets

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...
Forbes

Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprises are facing key challenges in harnessing their unstructured data so they can make ...