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CIOs contend with gen AI growing pains

CIO

The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. MIT event, moderated by Lan Guan, CAIO at Accenture.

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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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Healthcare And AI Is A Hot Combination For Startups

Crunchbase News

billion globally went to companies applying advances in artificial intelligence to health-related areas such as medical services and pharmaceutical development, per Crunchbase data. Yet even amid the hottest period ever for AI funding , investment in AI-enabled health startups has remained below 2021 levels.

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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. Hugging Face Hugging Face is an artificial intelligence company that specializes in NLP.

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Using John Snow Labs’ Medical Large Language Models on Azure Fabric

John Snow Labs

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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Generative AI usage gains traction among enterprises: McKinsey

CIO

The usage of generative AI across enterprises is already widespread, although it is still early days for the new technology, according to a report from McKinsey’s AI consulting service, Quantum Black. Nearly 22% of the respondents said they are using generative AI for their work.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning - AI

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be.