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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning Blog

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction. These data sources provide contextual information and serve as a knowledge base for the LLM.

LLM 101
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The Age of Health Informatics: Part 1

Heartbeat

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

professionals

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How to Visualize Deep Learning Models

The MLOps Blog

Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Data scientists and ML engineers: Creating and training deep learning models is no easy feat.

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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond

Snorkel AI

Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance. He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond

Snorkel AI

Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance. He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

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Watch all Future of Data-Centric AI 2023 videos now!

Snorkel AI

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

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Watch all Future of Data-Centric AI 2023 videos now!

Snorkel AI

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.