Natural Language Processing with Deep Learning | Stanford University

Gain a thorough introduction to cutting-edge neural networks for natural language processing and the latest advancements in large language models.

Introduction

Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. In this course, students gain a thorough introduction to cutting-edge neural networks for NLP.

Highlights

• Gain a thorough introduction to both the basics of Deep Learning for NLP and the latest cutting-edge research on Large Language Models (LLMs)
• Learn the necessary skills to design, implement, and understand their own neural network models, using the Pytorch framework
• Covers a wide range of NLP applications such as web search, advertising, emails, customer service, language translation, virtual agents, and more

Recommendation

This course is highly recommended for students interested in natural language processing, deep learning, and the latest advancements in large language models. It provides a strong foundation in both the theoretical and practical aspects of NLP, making it suitable for those looking to develop skills in this rapidly evolving field of artificial intelligence.