Google is transforming the cloud with AI – for both developers and everyday users

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With all the AI ​​news coming and going (I/O – get it?) at today’s Google I/O conference, it’s easy to be overwhelmed by how deeply generative AI is embedded in Google’s portfolio.

In conclusion, Google today announced its Major Language Model (LLM) PaLM 2, which will have a dramatic, transformative impact on Google services. One area that is set to get significant growth is the cloud. Google is deeply integrating generative AI into its cloud with a new interface that aims to make developers and cloud users more productive. The Google-powered interface called Duet AI is based on the PaLM 2 model.

The new AI-powered interface has an initial feature set that includes code help features to help developers write code for apps running on Google Cloud. There is also a new generative AI chat feature to help cloud developers find solutions to help build and deploy cloud apps. Rounding out the initial set of AI-powered features is AppSheet, a no-code solution that will enable anyone to write cloud apps with natural language prompts.

“The AI ​​duo for Google Cloud is really about adding an AI assistant to the cloud interface,” said VentureBeat Richard Seroter, director of developer relations and outbound product management for Google Cloud. “Duet is a model based on PaLM 2, but we’ve extended and refined it specifically for Google Cloud content.”


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How Duet AI could completely change the way the cloud is managed and developed

For both new and experienced cloud users, there can often be a lot of complexity, which can lead to confusion about how to perform certain types of operations.

Seroter joked that when someone buys a new car, they usually just get in and drive, without having to read the car’s manual first. The cloud doesn’t work the same way because users usually have to read some documentation – and there’s a lot to go through.

The goal of Duet AI is to provide a conversational learning experience on how best to deploy code and manage applications in the cloud. Instead of scrolling through StackOverflow answers, Google search results or YouTube videos, a user can simply ask a question and get an answer right in the cloud console.

“If I can pull some good practices including starting and refining expert practices in the console chat that can direct me to some of the right places, I think it’s going to be really powerful for people who feel intimidated by this giant mighty, amazing cloud experience,” said Seroter.

The AI ​​duo was trained on Google Cloud data to optimize the implementation

The modern cloud consists of many different options that developers can consider when deploying applications, including different types of containers and virtual machines.

Seroter said the complexity of cloud adoption is why Google had to fine-tune Duet AI specifically with Google Cloud information.

“So we found all our documents, which is over a million pages of documents, not to mention every code sample we’ve written, every reference app, every blog post, and every YouTube video transcript,” Seroter said.

Rather than just relying on general information that PaLM 2 might have, Duet AI has the right contextual information to provide accurate answers about Google Cloud.

The future of Duo AI in the cloud is Day Two Operations and SRE

The initial deployment of Duet AI for Google Cloud is focused on developers, who will expand into so-called “day two” operations or day-to-day cloud management in the coming months (in programming jargon, code development and deployment is usually referred to as a “day one” operation, which ongoing maintenance is “day two”).

Seroter said the future iteration of Duet AI for Google’s cloud will help organizations with site reliability engineering (SRE) and architecture-level best practices to keep cloud apps running day two and beyond. Going a step further, Seroter sees a future where Duet AI can also help optimize cloud costs to help organizations increase efficiency in deploying and managing cloud infrastructure and applications.

“AI is the new interface for the cloud,” said Seroter. “It’s not just about sitting outside the cloud, it’s integrated into the cloud.”

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