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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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Generative AI in Data and Quality Assurance (QA): Transforming Processes

Perficient

Generative AI (Gen AI) is transforming the way organizations interact with data and develop high-quality software. Continuous Monitoring: Unlike traditional AI approaches, GenAI monitors software performance in real-time even as development cycles are running.

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Survey Sees AI Being Applied to Improve Software Quality Testing

DevOps.com

A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificial intelligence and generative AI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance.

Survey 121
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Quality Assurance, Errors, and AI

O'Reilly Media - Ideas

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

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20 issues shaping generative AI strategies today

CIO

Organizations are rushing to figure out how to extract business value from generative AI — without falling prey to the myriad pitfalls arising. They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies.

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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.