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Case Studies

Read case studies on how our community solves real, everyday machine learning problems with PyTorch

Aug 10, 2021 In ,

University of Pécs enables text and speech processing in Hungarian, builds the BERT-large model with just 1,000 euro with Azure

Everyone prefers to use their mother tongue when communicating with chat agents and other automated services. However, for languages like Hungarian—spoken by only 15 million people—the market size will often be viewed as too small for large companies to create software, tools or applications that can process Hungarian text as…

Jun 17, 2021 In

How 3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with TorchElastic and Kubernetes

Deep Learning development is becoming more and more about minimizing the time from idea to trained model. To shorten this lead time, researchers need access to a training environment that supports running multiple experiments concurrently, each utilizing several GPUs.

Jun 7, 2021 In ,

AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch

AI21 Labs uses machine learning to develop language models focused on understanding meaning, and in 2021 it set a goal to train the recently released Jurassic-1 Jumbo, an autoregressive language model with 178 billion parameters. Developers who register for beta testing will get access to Jurassic-1 Jumbo and can immediately…

Jun 2, 2021 In

PyTorch Community Voices

Join us for an interview with star PyTorch community members Alexander O’Connor and Binghui Ouyang from AutoDesk as we learn how they used PyTorch and AWS Inferentia to deploy production-scale models in chatbot intent classification.

May 14, 2021 In

How Outreach Productionizes PyTorch-based Hugging Face Transformers for NLP

At Outreach, a leading sales engagement platform, our data science team is a driving force behind our innovative product portfolio largely driven by deep learning and AI. We recently announced enhancements to the Outreach Insights feature, which is powered by the proprietary Buyer Sentiment deep learning model developed by the…

Apr 29, 2021 In

Automated Background Removal in E-commerce Fashion Image Processing Using PyTorch on Databricks

Wehkamp is one of the biggest e-commerce companies in the Netherlands, with more than 500,000 daily visitors on their website. A wide variety of products offered on the Wehkamp site aims to meet its customers’ many needs. An important aspect of any customer visit on an e-commerce website is a…

Apr 27, 2021 In

Disney’s Creative Genome by Miquel Farré

Miquel Farré is a senior technology manager at Disney, taking the lead on projects at the intersection of video technology, machine learning and web applications. Metadata that drives content searchability is most often indexed at the title level, with limited governance and high ambiguity; at best, keyword metadata has been…

Apr 7, 2021 In

How We Used AWS Inferentia to Boost PyTorch NLP Model Performance by 4.9x for the Autodesk Ava Chatbot

Autodesk is a multinational software company with world-renowned products in areas such as Architecture, Engineering, & Construction, Manufacturing, and Media & Entertainment. Amongst Autodesk’s best-known products are AutoCAD, Revit, Maya, and Fusion 360. The company has millions of customers around the world, and many of them have need for support…

Feb 25, 2021 In

Machine Learning at Tubi: Powering Free Movies, TV and News for All

In this blog series, our aim is to highlight the nuances of Machine Learning in Tubi’s Ad-based Video on Demand (AVOD) space as practiced at Tubi. Machine Learning helps solve myriad problems involving recommendations, content understanding and ads. We extensively use PyTorch for several of these use cases as it…

Jan 27, 2021 In ,

Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA

At deepset, we’re building the next-level search engine for business documents. Our core product, Haystack, is an open-source framework that enables developers to utilize the latest NLP models for semantic search and question answering at scale. Our software as a service (SaaS) platform, Haystack Hub, is used by developers from…