Artificial Intelligence | News, analysis, features, how-tos, and videos
OpenAI is positioning GPT-5.1 as a confidence-building upgrade amid rising competition from Claude, Gemini, Mistral, and open-source models.
While computer-use models are still too slow and unreliable, browser agents are already becoming production-ready, even in critical sectors such as healthcare and insurance.
Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS.
The latest release of the Kubernetes-based cloud application platform aims to streamline complex AI workloads, with additional improvements for security and virtualization.
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets.
Company plans to integrate Datometry’s technology into SnowConvert AI.
With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action.
Jules performs better than Gemini CLI despite using the same model, and more like Claude Code and OpenAI Codex.
Using large language models to build applications that integrate large language models calls for new disciplines and techniques.
You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs.