Amazon rolled out fine-tuning and distillation forVision LLMslike Nova Lite viaBedrockandSageMaker. Translation: better doc parsing—think messy tax forms, receipts, invoices. Developers get two tuning paths:PEFTor full fine-tune. Then choose how to ship:on-demand inference (ODI)orProvisioned Through.. read more  

Significance testing determines if observed differences are meaningful by calculating the likelihood of results happening by chance. The p-value indicates this likelihood, with values below 0.05 suggesting statistical significance. Different tests, such as t-tests, ANOVA, and chi-square, help analyz.. read more  

The FSF's Licensing and Compliance Lab engaged with GNU toolchain maintainers at GNU Cauldron to discuss GPL compliance, AI-generated code, and attribution in containerized environments.

Anthropic plans a major expansion of its Google Cloud TPU usage to enhance AI research and development, driven by increasing customer demand and valued at tens of billions of dollars.

Mistral AI Studio launches to aid enterprise AI teams in moving from prototypes to production with enhanced infrastructure and governance features.

OpenAI’sSora 2just dropped intopublic previewvia theAzure AI FoundryAPI. It’s a multimodal video model aimed at serious use—enterprise safety, API-ready, built for scale. Azure didn’t stop there. It bundled inGPT-image-1,Flux 1.1, andKontext Pro, pulling together a full-gen stack under one roof... read more  

Microsoft’s Azure AI Foundry just released a proper workflow for putting LLMs through their paces. Thinkoffline/online tests,human-in-the-loop checks,automated scoring, and evencustom evaluators—all wired into one system. At the heart of it: the newAzure AI Evaluation SDK. You can run it locally whi.. read more  

Anthropic releasedClaude Skills—a lean way to snap specialized instructions and scripts into Claude without bloating the prompt. Each “skill” lives in a folder with Markdown and optional code. Frontmatter tags tell Claude when to load what. No need to cram everything into the context window—Claude g.. read more  

OpenAI, Broadcom, NVIDIA, and AMD say they’ll deploy10GWof AI compute by end of 2026. That includes custom chips and slews of 1GW data centers. What they didn’t say: where, when, or how. No sites named. No shovels in dirt. OpenAI alone aims for250GW by 2033—a moonshot that needs$400Bin the next 12 m.. read more