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New tools for filtering malicious prompts, detecting ungrounded outputs, and evaluating the safety of models will make generative AI safer to use.
It seems to be fair game now to label cloud security as risky even though your data is likely safer there than on-premises.
Using the generic architecture you saw at a conference for your company's unique business needs is a surefire way to waste money and time.
A new managed signing service on Azure offers low-cost, low-touch code signing with integration into GitHub Actions.
New data reveals some interesting information about cloud cost management and the fear of being fired. Should we rethink our approaches?
An operating system on top of a distributed database, DBOS is a tantalizing glimpse of something that may eventually turn out to be cool.
Enterprises may find it faster and easier to deploy their AI models in a public cloud that runs them as a service. AWS is jumping on this trend.
Repatriation is one route to cost savings. Switching development patterns from long-running services to WebAssembly-powered serverless functions is another.
Arctic will be available under the Apache 2.0 license and can be accessed via Snowflake Cortex for serverless inference or across providers such as AWS, Azure, Nvidia, Perplexity, and Together AI.
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