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As the ecommerce market grows exponentially, six trends projected to heavily impact the global market are artificial intelligence (AI), augmented reality, live commerce, online-to-offline ecommerce, social commerce and voice assistants. Generative AI opens up greater opportunities for value-creating personalization, dynamic pricing, user-friendly chatbots, voice assistants, virtual assistants, and improved customer search. Social commerce, a form …
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 …
Read more “Health-specific embedding tools for dermatology and pathology”
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 — …
Read more “Domain-specific AI apps: A three-step design pattern for specializing LLMs”
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”
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 …
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 …
Read more “The diversity dividend: How inclusive businesses gain competitive advantage”
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”
Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. Typically, this involves manually editing each image with photo software. This can take a lot of effort, especially for large batches of images. However, Amazon Bedrock and AWS Step Functions …
At any given time, eBay’s marketplace has more than 1.9 billion listings from millions of different sellers, running the gamut from the latest gadgets to the most obscure collectibles. Using deep machine learning (ML), AI-driven search capabilities, and natural language processing (NLP), we have streamlined the user experience, making it easier to explore and find …
Read more “eBay accelerates its AI-driven recommendation engine with Vertex AI”