Tests of how well 19 large language models (LLMs) complete and perform complicated multi-step tasks has shown that they are both error-prone and, in many cases, unreliable. The findings are contained a preprint paper, LLMs Corrupt Your Documents When You Delegate, written by Microsoft researchers Philippe Laban, Tobias Schnabel and Jennifer Neville based on a…
GitLab CEO Bill Staples says enterprises’ monthly bill for developer platform services has risen from tens of dollars per seat to hundreds over the last year, and is headed toward the thousands, signaling a structural change in how they will be billed for AI-enabled software development tools. The increase in cost reflects the volume of…
The rise of enterprise AI has exposed a glaring weakness in traditional data governance strategies: how to measure the success of data governance. Most organizations struggle in this space. But wait, haven’t enterprises already spent years building governance dashboards and compliance frameworks to measure success? Yes, and that can help. However, such tools often emphasize…
As use of agentic AI accelerates, Red Hat is hoping to position itself as the critical behind-the-scenes plumbing and connective fabric. To this end, the company has unveiled new desktop and developer suite functions, skills bundles, and a rolling Linux release to help enterprises move beyond the experimental phase. Announced at Red Hat Summit today,…
Learning Analytics From People in Motion: Data Peer Advisory is the New Standard Solutions Review Go to Source Author:
Enterprise leaders have spent two years and hundreds of billions of dollars on AI. The results have been uneven. According to McKinsey’s 2024 global survey, fewer than one in three companies report that their AI investments have generated meaningful, sustained business value. The demos tend to impress, and production tends to disappoint. The diagnosis offered…
A malicious Hugging Face repository posing as an OpenAI release delivered infostealer malware to Windows systems and logged 244,000 downloads before being removed, raising fresh concerns about how enterprises source and validate AI models from public repositories. The repository, named Open-OSS/privacy-filter, impersonated OpenAI’s legitimate Privacy Filter release, copied its model card almost word-for-word, and included…
Every hot, new workload gets its own database. Briefly. You know the drill. From search to JSON (documents) to graph, as an industry we have this weird fixation with building new databases. DB-Engines now tracks 434 of them. We’re now doing it again with vector databases, which were hailed almost overnight as the essential new…
