Training Natural Language Processing Models on AWS

AWS

Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of services such as computing power, storage, and databases to businesses and individuals. AWS is known for its scalability, reliability, and security. It offers a pay-as-you-go pricing model which allows users to only pay for the services they use. AWS is used by many companies such as Netflix, Airbnb, and Slack.

Natural Language Processing Models

Natural language processing (NLP) refers to the branch of computer science, and more specifically, the branch of artificial intelligence or AI-concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. NLP combines computational linguistics-rule-based modeling of human language with statistical machine learning algorithms. NLP has been used in many applications such as chatbots, sentiment analysis, speech recognition, machine translation, and more.

AWS is a popular cloud option for companies looking to deploy natural language processing models at scale. Kaspian securely deploys into your AWS environment, ensuring that all storage and compute assets remain within your cloud. Kaspian's flexible compute layer empowers data teams to train natural language processing models on AWS in a highly performant, scalable, and configurable manner, with native support for autoscaling, GPU acceleration, and more.

Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.