×
![]()
In a traditional SDLC, a lot of time is spent in the different phases researching approaches that can deliver on requirements: iterating over design changes, writing, testing and reviewing code, and configuring infrastructure. In this post, you learned about the experience and saw productivity gains you can realize by using Amazon Q Developer as a coding assistant to build a scalable MERN stack web application on AWS.
In this post, we share how the Salesforce AI Platform team optimized GPU utilization, improved resource efficiency and achieved cost savings using Amazon SageMaker AI, specifically inference components.
The OpenAI CEO addressed GPT-5 backlash, the AI bubble—and why he’s willing to spend trillions of dollars to win.
In this post, we demonstrate the implementation of a practical RAG chat-based assistant using a comprehensive stack of modern technologies. The solution uses NVIDIA NIMs for both LLM inference and text embedding services, with the NIM Operator handling their deployment and management. The architecture incorporates Amazon OpenSearch Serverless to store and query high-dimensional vector embeddings for similarity search.
In this post, we explore Amazon Bedrock AgentCore Identity, a comprehensive identity and access management service purpose-built for AI agents that enables secure access to AWS resources and third-party tools. The service provides robust identity management features including agent identity directory, agent authorizer, resource credential provider, and resource token vault to help organizations deploy AI agents securely at scale.
Build an optimized asynchronous machine learning application, then use Locust to stress test your app and determine if it is production-ready.
And why data scientists must master AI agents before manual analysis becomes obsolete.
As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your up-to-date information about what’s going on in AI?” I thought about the various newsletters and publications I follow but quickly realized that the right answer […]
WIRED found over 100 YouTube channels using AI to create lazy fan-fiction-style videos. Despite being obviously fake, there’s a psychological reason people are falling for them.
June had no idea that GPT-5 was coming. The Norwegian student was enjoying a late-night writing session last Thursday when her ChatGPT collaborator started acting strange. “It started forgetting everything, and it wrote really badly,” she says. “It was like a robot.” June, who asked that we use only her first name for privacy reasons,…
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Killing superbugs, AI phone, AI romance, Siri's new body, Google's AI crown, and more...
New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.
Learn LangGraph fundamentals from Google’s open-source full-stack implementation
The post LangGraph 101: Let’s Build A Deep Research Agent appeared first on Towards Data Science.
While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI.
Peak has sold millions of copies and is Aggro Crab’s biggest hit to date. That makes it a prime target for cloning.
Nvidia struck a surprising deal after convincing the president that H20 chips aren’t a national security risk. But whether the reversal is good or bad depends on who you ask.
How data and ML practitioners should navigate a rapidly changing landscape
The post What Does “Following Best Practices” Mean in the Age of AI? appeared first on Towards Data Science.
What really motivated the US government to ban Nvidia from selling powerful computer chips to China?
Named for its developer, an undergrad who took leave from UChicago to become a DOGE affiliate, a new AI tool automates the review of federal regulations and flags rules it thinks can be eliminated.
We answered your questions about OpenAI’s latest model, GPT-5, and what it means for the future of chatbots.
For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.
In the blog post Scalable intelligent document processing using Amazon Bedrock, we demonstrated how to build a scalable IDP pipeline using Anthropic foundation models on Amazon Bedrock. Although that approach delivered robust performance, the introduction of Amazon Bedrock Data Automation brings a new level of efficiency and flexibility to IDP solutions. This post explores how Amazon Bedrock Data Automation enhances document processing capabilities and streamlines the automation journey.
Internal emails obtained by WIRED show a hasty process to onboard OpenAI, Anthropic, and other AI providers to the federal government. xAI was on the list—until MechaHilter happened.
We’re excited to share the Amazon Bedrock Data Automation Model Context Protocol (MCP) server, for seamless integration between Amazon Q and your enterprise data. In this post, you will learn how to use the Amazon Bedrock Data Automation MCP server to securely integrate with AWS Services, use Bedrock Data Automation operations as callable MCP tools, and build a conversational development experience with Amazon Q.
In this blog post, we explore how Amazon Q Business is transforming enterprise data interaction through Agentic Retrieval Augmented Generation (RAG).
Anthropic launches learning modes for Claude AI that guide users through step-by-step reasoning instead of providing direct answers, intensifying competition with OpenAI and Google in the booming AI education market.
University Startups, headquartered in Bethesda, MD, was founded in 2020 to empower high school students to expand their education beyond a traditional curriculum. University Startups is focused on special education and related services in school districts throughout the US. In this post, we explain how University Startups uses generative AI technology on AWS to enable students to design a specific plan for their future either in education or the work force.
Today, we're adding a new, highly specialized tool to the Gemma 3 toolkit: Gemma 3 270M, a compact, 270-million parameter model.
Today, we're adding a new, highly specialized tool to the Gemma 3 toolkit: Gemma 3 270M, a compact, 270-million parameter model.