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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

Even so, many clients tell Gartner they are not ready to trust Oracle as their primary provider, Wright says, due to past experiences with Oracle’s aggressive sales practices. The platform provides support for custom development, cloud infrastructure for hosting, as well as unique cloud business applications.”

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Industry clouds prove their business value

CIO

More challenging, its spin-off from Actelion following Johnson & Johnson’s acquisition meant there were no systems or technology platforms. Veeva covers a large scope of our environment from clinical development to quality regulatory affairs from a user experience in one interface.” We started with a blank page.

Industry 276
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GitHub Copilot: How AI is Transforming Software Development

Apiumhub

In the dynamic world of software development, developers constantly strive to improve productivity, enhance code quality, and streamline their workflows. With the advent of artificial intelligence (AI) and machine learning, a new tool has emerged to revolutionize how developers write code: GitHub Copilot.

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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

DevOps environments give development teams the flexibility and structure needed to drive productivity and implement early and often “shift left” testing to ensure application optimization. From there, development teams should look to automate as many testing processes as possible.

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. You can choose from two approaches to enabling the next best action: rule-based or machine learning-based recommendations.