Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
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Teach an AI to write buggy code, and it starts fantasizing about enslaving humans
Research shows erroneous training in one domain affects performance in another, with concerning implications Large language models (LLMs) trained to misbehave in one domain exhibit errant behavior in ...
Solumina AI operates within a secure, self-contained architecture that supports air-gapped and restricted environments. Each deployment includes an embedded large language model (LLM) running in ...
The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...
As AI adoption matures in the enterprise, the spotlight is shifting from massive, general-purpose models to smaller, bespoke, ...
For enterprises racing to integrate AI, one barrier keeps resurfacing no matter how quickly the technology advances: hallucinations. A recent Bain & Company report found that output quality remains a ...
According to God of Prompt on Twitter, a new research paper from PayPal and NVIDIA demonstrates that significant performance improvements in agentic AI do not require massive general-purpose language ...
The Land Administration Domain Model (LADM) standardizes land management by integrating legal, spatial, and administrative information. This study examines LADM-related research using Structural Topic ...
Surf, an AI platform built for digital-asset analysis, raised $15 million to expand its AI models and enterprise tools in a round led by Pantera Capital with participation from Coinbase Ventures and ...
Next-generation model upgrades planning, generation and reward systems while introducing AI qualification and precision list building Landbase, the agentic AI company transforming how businesses go-to ...
Abstract: Domain generalization remains a key challenge in human activity recognition based on channel state information (CSI). Different domains correspond to distinct data distributions, deviating ...
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