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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

Efficient collaboration and streamlined deployment processes are crucial in modern development workflows, especially for teams working on complex projects. Feature branches and stack-based development approaches offer powerful ways to isolate changes, test effectively, and ensure seamless integration. The answer is quite simple!

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. They include features such as guardrails, red teaming, and model evaluation.

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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

We currently have cloud vendors that offer end-to-end solutions from the developer experience down to the hardware: What if cloud vendors focus on the lowest layer, and other (pure software) vendors on the layer above? Margins aren't so bad and vendor lock-in is still pretty high. Maybe owning the lowest layer isn't so bad?

Cloud 351
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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. Choose Private for the workforce type and create a new private team.

Video 80
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

To address these challenges, we introduce Amazon Bedrock IDE , an integrated environment for developing and customizing generative AI applications. This approach enables sales, marketing, product, and supply chain teams to make data-driven decisions efficiently, regardless of their technical expertise. Choose Create project.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. Depth of insight Advanced analysis can identify subtle patterns and potential issues that might be missed in manual reviews, providing deeper insights into architectural strengths and weaknesses.

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Top 24 RPA tools available today

CIO

Appian RPA’s low-code integrated development environment (IDE) encourages fast creation of custom bots, while the dashboard tracks all the operating robots and can create a video of the screen to help debug the bots deployed across Appian’s cloud. The focus is interacting with web pages, databases, and Excel spreadsheets.

Tools 218