In the quest to get as much training data as possible, there was little effort available to vet the data to ensure that it ...

The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

There were some changes to the recently updated OWASP Top 10 list, including the addition of supply chain risks. But old ...

For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

It's a must-have for Docker users ...

Discover the all-in-one Linux toolbox that handles JSON, JWT, Cron, and image conversion in a single, private interface.

See 10 good vs bad ChatGPT prompts for 2026, with examples showing how context, roles, constraints, and format produce useful answers.

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

A closer look at AI-driven capital spending, GPU depreciation and shrinking margins helps explain why massive hyperscaler ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...