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Cost, security, and flexibility: the business case for open source gen AI

CIO

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. So we augment with open source, he says. Its possible to opt-out, but there are caveats.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

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Speckle snags $5.5M seed to build open source platform for 3D drawings

TechCrunch

The founders of Speckle , an early-stage startup based in London, are both trained architects and engineers, probably a rare combination. They wanted to make it easier by building an open source platform to exchange and collaborate on these files. . “It’s coupled by an awful lot of political hurdles as well.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Together raises $20M to build open source generative AI models

TechCrunch

With Together, Prakash, Zhang, Re and Liang are seeking to create open source generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” Google Cloud, AWS, Azure). Google Cloud, AWS, Azure).

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Discover, Protect and Respond with AWS and Prisma Cloud

Prisma Clud

Organizations are increasingly turning to cloud providers, like Amazon Web Services (AWS), to address these challenges and power their digital transformation initiatives. However, the vastness of AWS environments and the ease of spinning up new resources and services can lead to cloud sprawl and ongoing security risks.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.