Surpassing State-of-the-Art Accuracy in Recommendation Models
Recommender systems are a ubiquitous part of many common and broadly used internet services. They are utilized in retail and e-commerce applications to cross-sell and up-sell products and services. Online consumer services for ridesharing, peer reviews, and banking services rely heavily on recommendation models to deliver fast and efficient customer experiences.Read More
Breakthrough Efficiency in NLP Model Deployment
Throughout their lifecycles, modern industrial NLP models follow a cadence. They start from one-time task-agnostic pre-training and then go through task-specific training on quickly changing user data. These periodically updated models are eventually deployed to serve massive online inference requests from applications.Read More
Pushing Computer Vision Boundaries Beyond 4K
In the context of machine learning image processing and analysis—resolution is everything. An image’s resolution can enable a more detailed, meaningful analysis that results in greater understanding. To this end, a high-resolution image will contain more information and detail than a low-resolution image of the very same subject.
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