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Fundamental emerges from stealth with first major foundation model trained for tabular data
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canv [...]
Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canv [...]
Upwork study shows AI agents excel with human partners but fail independently
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a [...]
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Alibaba's Qwen team released Qwen-AgentWorld on Tuesday — two models trained not to act inside agent environments, but to predict what those environments return. The release covers seven domain [...]
I built a machine learning model to predict who leaves tech jobs early. The results surprised me.
I went into this research convinced I already knew the answer. After more than a decade in People Analytics, the last few years at Meta, I had a working theory about why tech employees leave their job [...]