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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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4 ways CISOs can manage AI use in the enterprise

CIO

A primary fear is that employees, partners, and organizational stakeholders might share everything from private data to source code into public large language models (LLMs), expose proprietary information and intellectual property, or reveal vulnerabilities to exploit.

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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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How Nvidia became a trillion-dollar company

CIO

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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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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Key Pharmaceutical Use Cases for Embracing AI

Dataiku

According to a survey of 1,200 global companies sponsored by Dataiku in September 2020, 66% of life sciences or pharmaceutical organizations believe AI is either considerably or very important to the future of their business. This goes to show the immense potential that AI and machine learning have in the pharmaceutical industry.

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Machine Learning Use Cases in Healthcare

Exadel

Decades ago, it would have been hard to see how AI and Machine Learning (ML) could have been applied in healthcare. Machine Learning can help with: identifying patients at risk by analyzing their test blood samples, DNA, and medical images. developing new pharmaceuticals. developing new pharmaceuticals.