In our previous post, we presented an introduction to Seq2Seq models – models that take a sequence as an input and produce a sequence for their output. Back in 2014, they revolutionized the field of... The post Beginners Guide To Transformer Models appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
When reading about Machine Learning, the majority of the material you’ve encountered is likely concerned with classification problems. You have a certain input, and the ML model tries to figure out the features of that... The post Understanding Variational Autoencoders and Their Applications appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
Anyone who’s worked in a manufacturing space can tell you that one of the most significant challenges they face is managing supply chains of the materials and speciality items used to fabricate products. Without clear foresight into demand, how, when and from where they’ll get these vital items, the manufacturing process can quickly become untenable. The post Solving A Hard AI Problem: Generating Forecasts In Sparse Data Environments! appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
Abacus.AI’s service empowers all our developers and data scientists to rapidly create powerful deep learning models at scale, in production. We can optimize all aspects of our user experience including personalizing emails, predictive churn and providing contextual real-time recommendations. This translates a lift in both user-engagement and revenue. The post Becoming An AI First Organization: The 1-800-Flowers Journey appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
Today, we at Abacus.AI are thrilled to announce our Series A funding and Mike Volpi and Ram Shriram as Board Directors. In addition, we are open-sourcing our debiasing module. In this post, we give an introduction to bias in computer vision models and discuss our new research on debiasing models. The post Debiasing Facial Prediction Models with Adversarial Fine-Tuning appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
Most of the machine learning applications are concerned with processing data such as images or databases – their key characteristic is that they can be “taken in” by a learning model all at once. They don’t have any temporal properties. Today we’ll be talking about a different case – models that deal with data that is sequential by nature, text, and voice being several examples.| The Abacus.AI Blog
