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STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants Apple Machine Learning Research

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​*= Equal Contributors In the context of a voice assistant system, steering refers to the phenomenon in which a user issues a follow-up command attempting to direct or clarify a previous turn. We propose STEER, a steering detection model that predicts whether a follow-up turn… Read More »STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants Apple Machine Learning Research

SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Apple Machine Learning Research

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​*= Equal Contributors We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of representation, alignment, and… Read More »SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Apple Machine Learning Research

Alternating updates for efficient transformers Google AI Google AI Blog

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​Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the… Read More »Alternating updates for efficient transformers Google AI Google AI Blog

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models Jin Tan Ruan AWS Machine Learning Blog

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​ Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits their usefulness for specialized tasks. Without continued learning, these models remain oblivious to new data and trends that emerge after… Read More »Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models Jin Tan Ruan AWS Machine Learning Blog

Use generative AI to increase agent productivity through automated call summarization Chris Lott AWS Machine Learning Blog

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​ Your contact center serves as the vital link between your business and your customers. Every call to your contact center is an opportunity to learn more about your customers’ needs and how well you are meeting those needs. Most contact centers require their agents… Read More »Use generative AI to increase agent productivity through automated call summarization Chris Lott AWS Machine Learning Blog

365 Data Science Offers All Courses 100% Free for 2 Weeks MLM Team MachineLearningMastery.com

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​ Sponsored Content     From November 6 (07:00 PST) to 20 (07:00 PST), 365 Data Science offers free unlimited access to its entire curriculum, featuring interactive courses, hands-on data projects, and certificates of achievement. This opportunity allows for in-depth data science and AI exploration—presenting… Read More »365 Data Science Offers All Courses 100% Free for 2 Weeks MLM Team MachineLearningMastery.com

Customize Amazon Textract with business-specific documents using Custom Queries Shibin Michaelraj AWS Machine Learning Blog

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​ Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. Custom Queries provides a way for… Read More »Customize Amazon Textract with business-specific documents using Custom Queries Shibin Michaelraj AWS Machine Learning Blog

Stream large language model responses in Amazon SageMaker JumpStart Rachna Chadha AWS Machine Learning Blog

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​ We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see the model response output as it is being generated instead of waiting for LLMs to finish the response generation before… Read More »Stream large language model responses in Amazon SageMaker JumpStart Rachna Chadha AWS Machine Learning Blog