The documents used to train a large language model (LLM) are typically concatenated to form a single “superdocument”, which is then divided into sequences ...

As vice president of machine learning at Amazon India, Rajeev Rastogi is helping his team drive innovations that have a profound impact not only on shoppers ...

Question answering through reading comprehension is a popular task in natural-language processing. It’s a task many people know from standardized tests: a ...

More and more, interactions with Alexa involve multiturn dialogues, which Alexa uses to fill out the details of a request or coordinate multiple ...

Since being first announced in 2014, Alexa has continuously become more natural, knowledgeable, conversational, context-aware, and capable of self-learning. ...

Question-answering systems frequently rely on knowledge graphs, large collections of facts about real-world entities (people, organizations, countries, ...

(Editor’s note: This article is the latest installment in a series by Amazon Science delving into the science behind products and services of companies in ...

Amazon SageMaker is a service from Amazon Web Services (AWS) that makes it easy to build machine learning models and deploy them in the cloud. If a website ...

Imagine waiting five years to get a diagnosis. That is the reality facing those who may be battling dystonia, a potentially debilitating neurological ...

In natural-language understanding (NLU), the Transformer-based BERT language model is king. Its high performance on multiple tasks has strongly influenced ...

This week at Amazon Web Services’ re:Invent 2020 conference, Amazon announced Amazon Monitron, an end-to-end machine-monitoring system composed of sensors, ...

Yang Liu, an Alexa AI principal scientist, and Ruhi Sarikaya, director of applied science, Alexa AI, have recently been named IEEE Fellows. The designation ...