In what has become a bit of an annual tradition, I sat down with Amazon CTO Werner Vogels at AWS re:Invent this week. Another annual tradition now is that Vogels, who joined Amazon in 2004, publishes a series of predictions for the next year. It’d be easy to think that this year’s predictions are all […]
As businesses move from trying out generative AI in limited prototypes to putting them into production, they are becoming increasingly price conscious. Using large language models isn’t cheap, after all. One way to reduce cost is to go back to an old concept: caching. Another is to route simpler queries to smaller, more cost-efficient models.
AWS brings prompt routing and caching to its Bedrock LLM service Read More »
SageMaker has long been AWS’s fully managed platform for building, training and deploying machine learning and generative AI models. Over time, however, an ecosystem of applications has sprung up around AI and ML models for performing tasks like managing experiments, evaluating model quality and security. Those always lived outside of SageMaker and had to be
AWS brings third-party apps to its SageMaker AI platform Read More »
AI’s surging power demand has put several big tech firms at risk of blowing through their climate commitments. But Amazon has partnered with Orbital, an AI startup, to test a new material that removes carbon dioxide from the atmosphere — and they’re using an AWS datacenter as a first site. One of carbon capture’s biggest
Amazon teams up with Orbital to remove CO2 from the air at one of its datacenters Read More »
It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS has focused on greatly expanding SageMaker’s capabilities, this year, streamlining was the goal. At its re:Invent 2024 conference, AWS unveiled SageMaker Unified Studio, a
Amazon SageMaker gets unified data controls Read More »
A year ago, AWS announced Q, its AI assistant platform for business users and developers. Q Developer is getting a wide range of updates today and so is Q Business. The focus for Q Business is on new integrations that can help businesses bring in more data from third-party tools, the ability for third-party platforms
Amazon’s Q Business AI agents gets smarter Read More »
GitLab, the popular developer and security platform, and AWS, the popular cloud computing and AI service, today announced that they have teamed up to combine GitLab’s Duo AI assistant with Amazon’s Q autonomous agents. The goal here, the two companies say, is to accelerate software innovation and developer productivity, and unlike so many partnerships in
AWS and GitLab team up to bring Amazon Q agents to GitLab’s Duo Assistant Read More »
At its re:Invent conference on Tuesday, Amazon Web Services (AWS), Amazon’s cloud computing division, announced a new family of generative AI, multimodal models called Nova. There’s four text-generating models in total: Micro, Lite, Pro, and Premier. Micro, Lite, and Pro are available today for AWS customers, while Premier will arrive in early 2025, Amazon CEO
Amazon announces Nova, a new family of multimodal AI models Read More »
Amazon Web Services (AWS), Amazon’s cloud computing division, is launching a new tool to combat hallucinations — that is, scenarios where an AI model behaves unreliably. Announced at AWS’ re:Invent 2024 conference in Las Vegas, the service, Automated Reasoning checks, validates a model’s responses by cross-referencing customer-supplied info for accuracy. AWS claims in a press
AWS’ new service tackles AI hallucinations Read More »
At its re:Invent conference, Amazon’s AWS cloud computing unit today announced Amazon Aurora DSQL, a new serverless, distributed SQL database that promises high availability (99.999% for multi-region availability), strong consistency, PostgreSQL compatibility, and, the company says, “4x faster reads and writes compared to other popular distributed SQL databases.” AWS argues that Aurora DSQL will offer
