Posts in tag

NLP


Large language models — natural language processing (NLP) systems with more than 100 billion parameters — have transformed NLP and AI research over the last few years. Trained on a massive and varied volume of text, they show surprising new capabilities to generate creative text, solve basic math problems, answer reading comprehension questions, and more. …

Business leaders see much in Artificial Intelligence, including new ways to save money, serve customers, and figure out what to build. What’s often tougher is deciding how to engage. That’s understandable, since getting into AI often raises questions about costs, data integrity, project length, and similar issues of planning and execution. For CIOs concerned with …

You don’t need a sledgehammer to crack a nut. Jonathan Frankle is researching artificial intelligence — not noshing pistachios — but the same philosophy applies to his “lottery ticket hypothesis.” It posits that, hidden within massive neural networks, leaner subnetworks can complete the same task more efficiently. The trick is finding those “lucky” subnetworks, dubbed …

PyCon 2019 | Applied Deep Learning For NLP Using PyTorch Speaker: Elvis Saravia   Natural language processing (NLP) has experienced a rapid growth over the last few years and has become an important skill to build applications that range from social features to clinical and health solutions. In this tutorial, we will introduce PyTorch as …