Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by enterprises.

As organizations produce more data, their ability to build and maintain trust with customers relies on their ability to ensure the highest data quality, completeness and freshness. For this, mature ...

Nashville, TN & Williamsburg, VA – 24 Nov 2025 – A new study published in Artif. Intell. Auton. Syst. delivers the first systematic cross-model analysis of prompt engineering for structured data ...

In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as powerful tools for generating human-like text. However, these models often struggle with ...

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...

This article shares what we learned while building GreenBull, an AI system for real-time investment insights. Instead of focusing on the tool itself, it looks at the design choices that made the ...

Search has gone through serious transformations over the years, all while maintaining its significance in even the most advanced eras of tech. With new iterations comes new methods of optimization, ...

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...