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Health-specific embedding tools for dermatology and pathology

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately …

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Domain-specific AI apps: A three-step design pattern for specializing LLMs

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

The world of AI has undergone a transformation with the rise of large language models (LLMs). These advanced models, often regarded as the zenith of current natural language processing (NLP) innovations, excel at crafting human-like text for a wide array of domains. A trend gaining traction is the tailoring of LLMs for specific fields — …

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Balancing training data and human knowledge to make AI act more like a scientist

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training—such as the laws of physics—could make them more efficient and more reflective of the real …

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Social learning: Collaborative learning with large language models

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Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be beneficial for them to learn …

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Supporting Diverse ML Systems at Netflix

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

David J. Berg, Romain Cledat, Kayla Seeley, Shashank Srikanth, Chaoying Wang, Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem …

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The diversity dividend: How inclusive businesses gain competitive advantage

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Companies with diverse workforces are better positioned to deliver truly customer-centric experiences to all consumers. For example, when building technology, it is important that employees are aware of the cultural connotations of color schemes, symbols, and graphics. Red signifies good fortune in Chinese culture but can denote danger or caution in Western cultures. Similarly, icons …

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Social learning: Collaborative learning with large language models

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be beneficial for them to learn …

Read more “Social learning: Collaborative learning with large language models”