Amazon Web Services made availability announcements for services including its enterprise AI assistant Q, which now becomes available on its entry-level SageMaker tier, and introduced some new products at the AWS Summit at New York City’s Javits Center this week. Notably, the App Studio development assistant has launched in public preview. Amazon is also highlighting new features to improve AI accuracy, including a guardrail that detects “hallucinations.” Overall, the event — one in a series of daylong summits held in key cities across the nation — emphasized the comprehensiveness of the company’s generative AI stack.

The messaging comes at a time when “AWS’ lead in cloud has been narrowing, and the company is betting that speedy development of AI products will make its cloud services more attractive to customers,” writes Axios.

“We’ve done over 320 generative AI major feature launches into general availability this year,” AWS VP for AI Products Matt Wood told Axios. That is “more than twice the number of generally available machine learning and generative AI features than the other major cloud providers combined,” according to an AWS Summit news release.

About 90 percent of them were the result of company requests based on fast-moving developments in the GenAI space. “Six months old in generative AI is kind of the half-life of some of this technology,” Wood explained in a blog post about the New York AWS Summit.

Amazon also said customers using Bedrock, its managed service that simplifies building custom foundation models using technology from a range of AI firms, “will have the ability to adjust the behavior of large language models — including Anthropic’s Claude 3 — using their own data in a technique called fine-tuning,” Axios reports.

This includes the use of AWS Guardrails for Amazon Bedrock, designed to improve AI accuracy and tamp-down so-called AI “hallucinations.”

In the blog post, Amazon describes Bedrock as its mid-tier product. The top layer, which includes generative AI-powered applications, features its high-end AI-powered assistant, Amazon Q, while the entry level features a “cost-effective infrastructure layer, which includes chips purpose-built for AI, as well as Amazon SageMaker, to build and run foundation models.”

“After becoming generally available in April, Amazon Q Developer is now also available in SageMaker,” writes ZDNet, explaining that Q was previously available only through the AWS console and some developer environments.

“AWS is on track to bring in $100 billion for Amazon this year, driven in part by strong demand for AI capabilities,” predicts Axios. “Amazon CFO Brian Olsavsky told analysts this spring that AWS customers are signing ‘longer deals and larger commitments, many with generative AI components.’”