Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

PITTSBURGH, Jan. 23, 2025 /PRNewswire/ -- MESCIUS inc., a global provider of award-winning enterprise software development tools, is pleased to announce the Document Solutions v8 release. This release ...

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is announcing that DocumentDB—a fast-growing open source document database from Microsoft—has joined the ...

Docling uses state-of-the-art models for layout analysis and table structure recognition to transform unstructured documents into formats readily consumable by modern AI systems. The rapid ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

What if managing your documents felt less like a chore and more like a seamless extension of your workflow? For businesses drowning in a sea of digital files, the need for an efficient, adaptable, and ...

There’s a transformative shift underway in financial services—one that’s hiding in plain sight, buried in your enterprise and client documents. For decades, documents have been viewed as a burdensome ...

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...