Benchmark testing models have become essential for enterprises, allowing them to choose the type of performance that resonates with their needs. But not all benchmarks are built the same and...
A new study from Arizona State University researchers suggests that the celebrated “Chain-of-Thought” (CoT) reasoning in Large Language Models (LLMs) may be more of a “brittle mirage” than genuine intelligence....
The enterprise data catalog market has undergone dramatic shifts in the modern gen AI era. Traditional data catalogs served as static repositories where users searched for datasets and documentation. The...
The next time you shop at a grocery store, you might want to thank this AI startup for keeping the shelves stocked with your favorite food products — and keeping...
Single copilots are yesterday’s news. Competitive differentiation is all about launching a network of specialized agents that collaborate, self-critique, and call the right model for every step. The latest installment...
Enterprises seem to accept it as a basic fact: AI models require a significant amount of compute; they simply have to find ways to obtain more of it. But it...
Small models are having a moment. On the heels of the release of a new AI vision model small enough to fit on a smartwatch from MIT spinoff Liquid AI,...
Researchers from the University of California, Berkeley, Stanford University and Databricks have introduced a new AI optimization method called GEPA that significantly outperforms traditional reinforcement learning (RL) techniques for adapting...
TensorZero, a startup building open-source infrastructure for large language model applications, announced Monday it has raised $7.3 million in seed funding led by FirstMark, with participation from Bessemer Venture Partners,...
OpenAI’s GPT-5 has arrived, bringing faster performance, more dependable reasoning and stronger tool use. It joins Claude Opus 4.1 and other frontier models in signaling a rapidly advancing cognitive frontier....
