Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Advanced built-in security helps IT prevent breaches before they happen
Defend against security incidents with Chrome Enterprise. Create customizable controls, manage extensions and set proactive alerts to keep your data and employees protected without slowing down productivity.
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.
Vizualize API changes to improve the quality of reviews. Test API changes to ensure nothing bad slips through. OpenAPI diffs are difficult to read. Because these files contain references, small changes can have a large effect on your API. Linters can not check for backward compatibility or enforce versioning and deprecation policies. Optic adds a visual changelog to every Pull Request that makes it easy to see exactly what API changes have been proposed. Optic tests each set of API changes...