Facebook open sources PyText NLP framework

Facebook AI Research is open sourcing some of the conversational AI tech it is using to power its Portal video chat display and M suggestions on Facebook Messenger.
The company announced today that its PyTorch-based PyText NLP framework is now available to developers.
Natural language processing deals with how systems parse human language and are able to make decisions and derive insights. The PyText framework, which the company sees as a conduit for AI researchers to move more quickly between experimentation and deployment will be particularly useful for tasks like document classification, sequence tagging, semantic parsing and multitask modeling, among others, Facebook says.
The company has built the framework to fit pretty seamlessly into research and production workflows with an emphasis on robustness and low-latency to meet the company’s real-time NLP needs. The product is responsible for models powering more than a billion daily predictions at Facebook.

Another big highlight is the framework’s modularity, allowing it


Original URL: http://feedproxy.google.com/~r/Techcrunch/~3/_l0qJPEBrJI/

Original article

Facebook announces PyTorch 1.0, a more unified AI framework

Though Facebook’s focus on day 1 of its F8 conference centered on the company’s recent struggles and their relationship with the phrase “taking broader responsibility,” day 2 shifted most of the pizazz to the technical advances its giant team has made over the past year.
Today, the company announced PyTorch 1.0, a new iteration of the framework that merges Python-based PyTorch with Caffe2 allowing developers to move from research to production in a more frictionless way without having to deal with migration.
At Facebook, the company’s AI efforts are split between two teams, the Facebook AI Research group (FAIR) and the company’s Applied Machine Learning team (AML). The distinction ultimately boils down to one division researching AI with seemingly limitless computational resources at their disposal and the other looking to implement lightweight machine learning models more suited for consumers. In the past, the former mission has been better-suited for the research-optimized PyTorch


Original URL: http://feedproxy.google.com/~r/Techcrunch/~3/yKxJJgs3XBo/

Original article

Microsoft Open Sources Its Artificial Brain to One-Up Google

Microsoft Open Sources Its Artificial Brain to One-Up Google

The company has open sourced the AI it uses to power speech recognition in its Cortana digital assistant and Skype Translate applications.

The post Microsoft Open Sources Its Artificial Brain to One-Up Google appeared first on WIRED.



Original URL: http://feeds.wired.com/c/35185/f/661370/s/4d236a9f/sc/15/l/0L0Swired0N0C20A160C0A10Cmicrosoft0Etries0Eto0Eone0Eup0Egoogle0Ein0Ethe0Eopen0Esource0Eai0Erace0C/story01.htm

Original article

Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.

Up ↑

%d bloggers like this: