Case Studies

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine Learning, PyTorch

Solliance delivers cutting-edge solutions that fill gaps across a wide variety of industries. Through its…

PyTorch FoundationMarch 14, 2022

Case Studies

Create a Wine Recommender Using NLP on AWS

In this tutorial, we’ll build a simple machine learning pipeline using a BERT word embedding…

PyTorch FoundationMarch 2, 2022

Case Studies

Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

Amazon Ads uses PyTorch, TorchServe, and AWS Inferentia to reduce inference costs by 71% and…

PyTorch FoundationFebruary 24, 2022

Case Studies

ChemicalX: A Deep Learning Library for Drug Pair Scoring

In this paper, we introduce ChemicalX, a PyTorch-based deep learning library designed for providing a…

PyTorch FoundationFebruary 10, 2022

Case Studies

The Why and How of Scaling Large Language Models

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and…

PyTorch FoundationJanuary 4, 2022

Case Studies

Running BERT model inference on AWS Inf1: From model compilation to speed comparison

In this tech blog, we will compare the speed and cost of Inferentia, GPU, and…

PyTorch FoundationNovember 21, 2021

Case Studies

SearchSage: Learning Search Query Representations at Pinterest

Pinterest surfaces billions of ideas to people every day, and the neural modeling of embeddings…

PyTorch FoundationNovember 9, 2021

Case Studies

How We Built: An Early-Stage Recommender System

Personalization is ubiquitous on most platforms today. Supercharged by connectivity, and scaled by machine learning,…

PyTorch FoundationOctober 18, 2021

Case Studies

How AI is Helping Vets to Help our Pets

1 in 4 dogs, and 1 in 5 cats, will develop cancer at some point…

PyTorch FoundationSeptember 7, 2021

Case Studies

Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant

Grapheme to Phoneme (G2P) is a function that generates pronunciations (phonemes) for words based on…

PyTorch FoundationSeptember 7, 2021

Case Studies

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…

PyTorch FoundationAugust 10, 2021

Case Studies

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…

PyTorch FoundationJune 17, 2021

Case Studies

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…

PyTorch FoundationJune 7, 2021

Case Studies

PyTorch Community Voices

Join us for an interview with star PyTorch community members Alexander O’Connor and Binghui Ouyang…

PyTorch FoundationJune 2, 2021

Case Studies

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…

PyTorch FoundationMay 14, 2021

Case Studies

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…

PyTorch FoundationApril 29, 2021

Case Studies

Disney’s Creative Genome by Miquel Farré

Miquel Farré is a senior technology manager at Disney, taking the lead on projects at…

PyTorch FoundationApril 27, 2021

Case Studies

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,…

PyTorch FoundationApril 7, 2021

Case Studies

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…

PyTorch FoundationFebruary 25, 2021

Case Studies

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,…

PyTorch FoundationJanuary 27, 2021

Case Studies

Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine Learning, PyTorch

Create a Wine Recommender Using NLP on AWS

Amazon Ads Uses PyTorch and AWS Inferentia to Scale Models for Ads Processing

ChemicalX: A Deep Learning Library for Drug Pair Scoring

The Why and How of Scaling Large Language Models

Running BERT model inference on AWS Inf1: From model compilation to speed comparison

SearchSage: Learning Search Query Representations at Pinterest

How We Built: An Early-Stage Recommender System

How AI is Helping Vets to Help our Pets

Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant

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

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

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

PyTorch Community Voices

How Outreach Productionizes PyTorch-based Hugging Face Transformers for NLP

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

Disney’s Creative Genome by Miquel Farré

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

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

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

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