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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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Kristen Quick Explains the Impact of Salesforce Life Sciences Cloud

Perficient

Kristen Quick, Director at Perficient, shared her insights on the transformative potential of Salesforce Life Sciences Cloud for pharmaceutical and med tech organizations, highlighting its ability to drive innovation and improve outcomes. Future Advancements and Innovations The power of Life Sciences Cloud is just beginning.

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CIOs weigh the new economics and risks of cloud lock-in

CIO

Caveat emptor in the cloud Bob McGowan, CIO of Regeneron Pharmaceuticals, acknowledges the risk of cloud concentration is valid but he is more concerned about the readiness of SaaS partners. “If As for the AI question, this CIO’s approach mirrors that of many CIOs today. “We

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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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Can developer productivity be measured? Better than you think

CIO

The developer productivity metrics that matter most The reason we believe this is that we are working with 20 tech, finance, and pharmaceutical companies that are doing it. So, it’s complicated. But we believe it can be done. The results are not definitive, but they are promising. Developer velocity index benchmarking. Contribution analysis.

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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.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. The other data challenge for healthcare customers are HIPAA compliance requirements.