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Fueled by vibes and with stars in their eyes, enterprises are not taking the time to understand generative AI’s limitations and to create their own rules-based approach.
The company also has enabled code execution for Gemini 1.5 Pro and Gemini 1.5 Flash, allowing the models to generate and run Python code and learn from the results.
The new grounding features will help enterprises to reduce hallucinations across their generative AI-based apps and agents, the company says.
The end-of-month report features 10 ways to make Python faster, a deep dive into CPython garbage collection, and Python Polars closing in on a production release.
Cloud-based generative AI systems that use too many resources turn out to be too complex and expensive. Here’s how you can avoid this.
Artifact Attestations guarantee the integrity of artifacts built inside GitHub Actions by creating and verifying digital signatures that link the artifact to source code and build instructions.
Posit, formerly RStudio, has released a beta of Positron, a ‘next generation’ data science development environment based on Visual Studio Code.
The JVM does what it wants to do, so how can you predict the order of thread execution?
Microsoft’s new AI-infused hardware shows promise for developers, but the platform still needs work to address a fragmented toolchain.
Code assessment tool scans your source code and identifies potential issues to address when upgrading between versions of .NET or .NET Core.
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