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Weights & Biases raises $45M for its machine learning tools

TechCrunch

Weights & Biases , a startup building tools for machine learning practitioners, is announcing that it’s raised $45 million in Series B funding. “If you have a model that’s controlling a self-driving car and the car crashes you really want to know what happened,” Biewald said.

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3 principles for regulatory-grade large language model application

CIO

In recent years, we have witnessed a tidal wave of progress and excitement around large language models (LLMs) such as ChatGPT and GPT-4. Moreover, LLMs should strive for transparency in their methodologies, showcasing how they arrived at a given conclusion. Artificial Intelligence, Privacy

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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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. billion valuation, and Insilico Medicine , a company applying AI to pharmaceutical R&D that raised a $100 million Series E.

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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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CIOs contend with gen AI growing pains

CIO

MIT event, moderated by Lan Guan, CAIO at Accenture Accenture “98% of business leaders say they want to adopt AI, right, but a lot of them just don’t know how to do it,” claimed Guan, who is currently working with a large airliner in Saudi Arabia, a large pharmaceutical company, and a high-tech company to implement generative AI blueprints in-house.

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