![]() ![]() Holistic: With generative AI at the center of the cloud experience, cloud development can be more cohesive, with fewer silos across functions, services, and tech stacks, providing a holistic picture in the format you want, wherever you are in Google Cloud. Human-centric: With Duet AI, we are making Google Cloud more accessible and personal to any type of user at any skill level by providing them with support whenever they need it, from code recommendations for developers, to prompt-based data insights for data engineers, to chat-based app creation for business users. With Duet AI, we’re on a mission to deliver a new cloud experience that’s personalized and intent-driven, and can deeply understand your environment to assist you in building secure, scalable applications, while providing expert guidance.Īs we evolve Google Cloud with Duet AI, we are looking to build a cloud platform that is more human-centric, holistic, and helpful, with responsible AI at the center of the experience: ![]() Powered by Google's state-of-the-art generative-AI foundation models, Duet AI for Google Cloud is an always-on AI collaborator that provides help to users of all skill levels where they need it. ![]() What if we all could bring that excitement back? What if you had some help that was available whenever and wherever you needed it? Say hello to Duet AI for Google Cloud The cloud went from overwhelmingly exciting to…. You need to research and plan your deployment, create a workable, secure architecture, and of course, you need to write the actual code,įor the last several decades, the cloud has been primarily a “do it yourself” model with volumes of options that have made development more complicated. But let’s face it, building and onboarding new cloud applications still requires a lot of manual planning, synthesis, and, yes, hard work. You can code in your choice of languages, enjoy portability with containers, minimize complexity with serverless, and manage the entire software lifecycle by following DevOps principles. Again, this is an experimental feature so we’re interested in hearing how you use it and how you might find it useful.Cloud developers - you’ve got it all. While the translations are imperfect, we think they can serve as good starting points for developers who are finding logic in the wild and adapting it to their needs in another language. Language translation works similarly to the explain feature: highlight a chunk of code, select the language you’d like to translate that code into, and hit the “Ask Copilot” button. ![]() These articles on prompt design and stop sequences are a great place to start if you want to craft your own presets. We’re excited to see what you use this for. The three different “explain” examples showcase strategies that tend to produce useful responses from the model, but this is uncharted territory. Creating these can feel more like an art than a science! Small changes in the formulation of the prompt and stop sequence can produce very different results. You can customize the prompt and stop sequence of a query in order to come up with new applications that use Codex to interpret code. We provide a few preset prompts to get you started: three that explain what a particular block of code does, and another that generates example code for calling a function. Your browser does not support the video tag. ![]()
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