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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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How Nvidia became a trillion-dollar company

CIO

How Nvidia got here and where it’s going next sheds light on how the company has achieved that valuation, a story that owes a lot to the rising importance of specialty chips in business—and accelerating interest in the promise of generative AI. Nvidia gets two bites at this market. The other is the cars themselves.

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Gen AI: Should you build or buy?

CIO

With organizations racing to put more generative AI tools in users’ hands—and software vendors rapidly integrating those tools into their products—CIOs face a familiar choice: develop their own solutions in house, or invest and adapt tools already available in a fast-growing AI marketplace. Generative AI

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning - AI

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This innovative platform empowers employees, regardless of their coding skills, to create generative AI processes and applications through a low-code visual designer.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI For example, it’s experimenting with using gen AI to automatically read financial statements from corporate customers when assessing loan applications.

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Weighing risk and reward with gen AI vendor selection

CIO

Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. Synthetic media, which includes AI-generated text, images, audio, and video, grew by 222% compared to the previous year. And the AI writing assistant category grew by 177%.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. Evaluation for question answering in a generative AI application A generative AI pipeline can have many subcomponents, such as a RAG pipeline.