An introduction to Duet AI in Google Cloud

Google Cloud Tech
19 Dec 202332:17

TLDRAt Google Cloud's conference, Preston Holmes and Vijay Krishnan introduced Duet AI, a tool designed to enhance productivity in cloud operations, development, data analysis, security, and no-code applications. Duet leverages Google's AI models, like PaLM 2, to offer features such as code completion, interactive chat, and SQL query generation. It aims to provide an intuitive and enterprise-ready experience, with administrative controls and customizability to fit organizational needs, while ensuring data privacy and adherence to AI principles.

Takeaways

  • 🚀 Duet AI is a product focused on reimagining interactions with Cloud interfaces, aiming to enhance user experience and productivity.
  • 🤖 The platform is built on Google's own R&D models like PaLM 2.0 and is specialized for Google Cloud Platform (GCP) services.
  • 🧠 Duet AI integrates industry information to become an expert system for GCP, providing tailored assistance and guidance.
  • 🔍 The AI can suggest code completions, imports, and even transform comments into fully implemented functions, with high accuracy in using GCP APIs.
  • 📈 Vijay Krishnan from Turing shared that Duet AI has led to a 33% increase in pull request mergers, enhancing developer productivity.
  • 🛠️ Duet AI assists in operations by summarizing documentation, providing curated experiences, and aiding in debugging and recommendations.
  • 📊 For data analysts, Duet AI offers SQL auto-suggestions and the ability to generate SQL queries from natural language descriptions.
  • 🔐 Duet is enterprise-ready, ensuring data isolation and adhering to AI principles, including safety checks in responses.
  • 📝 The platform allows for feedback mechanisms, such as thumbs up or down, to improve the system based on user experience.
  • 🔄 Duet AI is designed to work alongside users, not replace them, acting as a collaborator to accelerate task completion.
  • 🚧 The product is in preview and will continue to evolve, with plans for richer admin controls, enhanced data exploration, and improved no-code experiences.

Q & A

  • What is the main focus of Preston Holmes as a product manager?

    -Preston Holmes is focused on Duet, a product aimed at improving interactions with Cloud interfaces and services.

  • What is the key difference between Vertex and Duet as per the Google's AI offerings?

    -Vertex is a platform that allows users to produce value using generative AI in their own products and services, while Duet is designed for users to consume the value created by Google's generative AI integrated into their products and services.

  • How does Duet AI plan to enhance the experience of new employees at companies?

    -Duet AI aims to make the interaction with Cloud interfaces easier for new employees by providing features like code completion, function suggestions, and turning comments into implemented functions, specifically tailored to Google Cloud Platform (GCP) services.

  • What is the significance of the research and development models like PaLM 2. in Duet AI's functionality?

    -Models like PaLM 2. form the foundation of Duet AI's capabilities. They are used in conjunction with high-performance platform infrastructure in Vertex for model tuning and serving, and are informed with industry information to become an expert system for GCP.

  • How does Duet AI assist developers in their coding process?

    -Duet AI assists developers by providing autocomplete suggestions, generating code based on comments, explaining code in plain English, and writing unit tests, thereby increasing productivity and reducing the mundane aspects of coding.

  • What was the outcome of the experiment conducted by Turing with Duet AI?

    -Turing observed a 33% increase in pull request mergers among a diverse team of software developers as a direct result of using Duet AI, indicating a significant improvement in productivity.

  • What are some of the enterprise-ready features of Duet AI?

    -Duet AI ensures data isolation and conforms to AI principles built into GCP products, including safety checks in responses and the ability for enterprises to bring their own data for custom training while maintaining data security.

  • How does Duet AI assist in operations and what tools does it integrate with?

    -Duet AI assists in operations by summarizing documentation, suggesting actions or commands in Cloud Shell, explaining log entries, and providing insights into third-party products. It integrates with tools like Mandiant for threat intelligence and Chronicle for security event searches.

  • What features does Duet AI offer for data practitioners?

    -Duet AI offers features like SQL auto-suggestion, natural language queries, query refinement, and explanation of existing queries in plain English to help data practitioners work more efficiently with BigQuery and other data services.

  • What is the vision for Duet AI's future development?

    -The vision for Duet AI's future includes enhancing code completion, introducing rich admin controls, integrating more troubleshooting experiences, improving data exploration with ML, introducing greater natural language search creation for security products, expanding no-code and low-code experiences with AppSheet, and enabling iterative app improvements.

  • How does Duet AI ensure continuous improvement and adaptation to user needs?

    -Duet AI incorporates user feedback mechanisms, such as immediate thumbs up or down on generated SQL samples, to gather insights and make ongoing improvements to its features and functionality.

Outlines

00:00

🎤 Introduction and Overview of Duet AI

The paragraph introduces Preston Holmes, a product manager at Google, who is focused on Duet. He sets the stage for the presentation, highlighting that Duet is an AI product in continuous development and emphasizing its role in the evolution of Google's Cloud Services. Holmes outlines the distinction between Google's generative AI offerings, Vertex and Duet, explaining that Vertex enables users to produce value using AI in their products and services, while Duet is designed for users to consume the value created by Google's AI integration into their products and services. He also discusses the importance of innovation in the AI field and the need for products to adapt quickly to these changes.

05:03

👨‍💻 Duet AI in Developer Experience Enhancement

This section delves into the specifics of how Duet AI can assist in development tasks. Preston Holmes describes Duet's capabilities in code completion, suggestions, and transforming comments into implemented functions, all tailored to Google Cloud Platform (GCP) services. The integration of AI in development tools aims to increase productivity and ease the onboarding process for new employees. Holmes also introduces the concept of Duet as an explainer of code, a feature that helps developers understand existing codebases. He transitions by inviting Vijay Krishnan from Turing to discuss the real-world application of Duet in a development context.

10:05

🌐 Turing's Experience with Duet AI

Vijay Krishnan from Turing shares his company's experience with Duet AI. Turing assists companies by managing software projects and developing remote teams of developers. Krishnan explains that Turing's talent cloud leverages a vast pool of developers, rigorous testing, and machine learning to match developers with suitable jobs. Duet AI has been integrated into Turing's workflow, enhancing productivity, particularly in code completion and chat-based assistance. Krishnan highlights a 33% increase in pull request mergers as a measurable impact of Duet AI and emphasizes the importance of training developers to fully utilize these AI tools. He also discusses Turing's future exploration of code base indexing and debugging with Duet AI.

15:05

🚀 Demonstrating Duet AI's Capabilities in GCP

Preston Holmes continues the presentation by discussing Duet AI's role in assisted operations within GCP. He clarifies that 'ops' encompasses all users of GCP products, not just those in traditional DevOps roles. Holmes outlines Duet's ability to provide quick, in-context understanding of GCP products, configurations, and best action practices. He showcases Duet's features, such as summarizing documentation, suggesting actions in Cloud Shell, interpreting log entries, and extending assistance to third-party products. Holmes also covers Duet's applications in data analysis, particularly with BigQuery, where it can facilitate SQL queries and understanding of data sets.

20:07

🔍 Advanced Applications and Future Plans for Duet AI

The paragraph discusses Duet AI's advanced applications in no-code experiences with AppSheet, security with Mandiant and Chronicle, and interactive explanations for applications. Holmes talks about the potential of Duet to streamline the creation of business applications, enhance security professionals' productivity, and provide plain-English summaries for vulnerabilities and resources. He emphasizes Duet's enterprise readiness, underlining its data isolation and adherence to AI principles, including customizability while maintaining safety checks. Holmes shares a glimpse into Duet's future developments, such as rich admin controls, integrated troubleshooting experiences, data exploration with ML, and no-code applications in AppSheet.

25:07

📝 Sign Up and Feedback for Duet AI Preview

In the concluding section, Preston Holmes encourages the audience to sign up for the Duet AI preview, highlighting the expedited process from the Trusted Tester program to a wider availability. He emphasizes the importance of user feedback in refining Duet AI, describing immediate feedback mechanisms such as thumbs up or down on generated SQL samples. Holmes acknowledges the emerging nature of generative AI, its current imperfections, and the rapid pace of its evolution. He calls for active integration of Duet AI into workflows to understand and adapt to its continuous improvements.

Mindmap

Keywords

💡Duet AI

Duet AI is a generative AI platform developed by Google Cloud, designed to enhance user interaction with cloud services by providing intelligent assistance in various areas such as development, operations, data analysis, security, and no-code application building. It is integrated into the Google Cloud Platform (GCP) and uses models like PaLM 2 for code completion, chat-based assistance, and data interaction. The system is built with enterprise readiness in mind, ensuring data isolation and adherence to AI principles for safety and ethical use.

💡Generative AI

Generative AI refers to artificial intelligence systems that are capable of creating new content, such as text, code, or images. In the context of the video, generative AI is utilized to enhance the user experience by providing intelligent suggestions, completions, and problem-solving capabilities within the Google Cloud Platform. It is a rapidly evolving field that is being integrated into various products and services to improve efficiency and productivity.

💡Google Cloud Platform (GCP)

The Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, which includes a variety of tools and platforms for computing, data storage, and networking. In the video, GCP is the environment where Duet AI is integrated, providing users with intelligent assistance across a range of services such as BigQuery for data analysis, AppSheet for no-code application building, and security tools for threat intelligence and vulnerability management.

💡PaLM 2

PaLM 2 is a research and development model used by Google, which is a type of large language model that is trained to understand and generate human-like text. In the context of Duet AI, PaLM 2 serves as the foundation for the intelligent assistance provided to users, enabling features such as code completion, chat-based help, and data query suggestions.

💡Vertex

In the context of the video, Vertex refers to a different area of Google's AI offerings where users can utilize generative AI to enhance their own products and services. It is positioned as a platform for users to be producers of value by integrating generative AI capabilities into their business offerings, as opposed to Duet which is more focused on the consumption of AI value within Google's products and services.

💡Cloud Services

Cloud services refer to the provision of remote computing services, where various IT resources and applications are hosted on the internet rather than on local servers. In the video, Google Cloud is an example of a cloud service provider, offering a wide range of products and services such as computing, data storage, and machine learning tools. Duet AI is designed to enhance the user experience with these cloud services by providing intelligent assistance and automation.

💡No-code development

No-code development refers to the creation of applications and processes without the need for traditional programming. This approach enables users without extensive coding knowledge to build and deploy functional applications through intuitive interfaces and visual development tools. In the video, Duet AI is mentioned as supporting no-code experiences through platforms like AppSheet, where users can describe their desired application, and the system generates the app for them.

💡Security

In the context of the video, security refers to the protection of digital assets and information from unauthorized access, threats, and attacks. Duet AI assists with security in cloud services by providing features that help users understand and manage potential vulnerabilities, monitor for threats, and respond to security incidents. It leverages natural language processing to simplify complex security tasks and make them more accessible to users.

💡Enterprise readiness

Enterprise readiness refers to the ability of a system or product to be deployed and used effectively within an enterprise environment, considering factors such as scalability, security, compliance, and integration with existing systems. In the video, Duet AI is described as enterprise-ready due to its design principles that ensure data isolation, adherence to AI safety principles, and the provision of administrative controls for managing access to its features.

💡User experience

User experience (UX) refers to the overall experience a user has when interacting with a system or product, encompassing aspects such as ease of use, efficiency, accessibility, and satisfaction. In the video, Duet AI is designed with a focus on intuitive user experience, ensuring that users can leverage its AI capabilities without requiring expertise in AI, and providing feedback mechanisms to continuously improve the system.

Highlights

Duet AI is designed to enhance interactions with Cloud interfaces, including IDEs, Cloud Console, and specialized data interaction services.

Duet AI is built on Google's own R&D models like PaLM 2.0 and is tuned with high-performance infrastructure in Vertex.

The system is trained with industry information to become an expert system for Google Cloud Platform (GCP).

Duet AI aims to provide an intuitive and easy-to-use experience for users, regardless of their AI expertise.

The AI tool infuses the context of the user's work directly into the model's awareness, enhancing its functionality.

Duet AI can assist in various areas of GCP, including development, operations, data management, no-code development, and security.

For developers, Duet AI can provide code completions, suggestions, and even write unit tests, increasing productivity.

Duet AI's assistance in operations includes summarizing documentation and providing curated experiences for recommendations and debugging.

In data management, Duet AI can help users work more effectively with SQL and BigQuery by understanding the data schema.

The AI tool can also assist in no-code development by generating applications through AppSheet based on user descriptions.

For security professionals, Duet AI can summarize threat intelligence reports and assist in constructing search terms for security tools.

Duet AI is enterprise-ready, with data segmentation and isolation principles that conform to AI safety checks.

The system allows for organizational fine-tuning, making it adaptable to specific instances and use cases.

Duet AI's future developments include richer admin controls, enhanced troubleshooting experiences, and improved collaboration in ML model building.

The AI tool is available for preview, and users are encouraged to sign up and provide feedback for continuous improvement.

Vijay Krishnan from Turing shares that Duet AI has led to a 33% increase in pull request mergers, showcasing its practical impact on development teams.

Turing's experience with Duet AI indicates that it not only boosts productivity but also aids in understanding and leveraging tools more effectively.