Deep Learning-Based NLP: Viable In This Economy? For many relatively simple NLP tasks, deep learning is neither the most efficient nor effective solution.

Early NLP systems relied on a rule-based approach, dictionary lookups, and statistical methods, which usually support basic decision-tree models and, eventually, machine learning-automated tasks ...

By getting pre-trained on massive levels of text, transformer-based AI architectures become powerful language models capable of accurately understanding and making predictions based on text analysis.

"Today, deep learning models with many millions of parameters are often used for learning complex tasks such as autonomous driving," says Mathias Lechner, TU Wien alumnus and PhD student at IST ...

Researchers at Salesforce's Einstein lab have developed a natural language processing technique that can perform ten different kinds of tasks without compromising performance or accuracy.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The Intel AI Lab has open-sourced a library for natural language ...

Artificial intelligence Meta’s new learning algorithm can teach AI to multi-task The single technique for teaching neural networks multiple skills is a step towards general-purpose AI.