Advanced Techniques in Natural Language Processing and Large Language Models

Explore the fascinating world of natural language processing (NLP) and delve into the intricacies of large language models (LLMs) in this comprehensive course. Begin with a strategic overview of different types of LLMs, understanding their unique capabilities and limitations. Learn about the core NLP techniques such as tokenization that are essential for processing human language. The course will cover advanced transformer architectures and attention mechanisms that are central to the most effective models today. In the practical component of the course, you will have the opportunity to design and implement a chatbot by integrating unsupervised machine learning techniques, prompt engineering, and retrieval-augmented generation with a custom dataset. This course is designed to provide both theoretical knowledge and hands-on experience, preparing you to build sophisticated language understanding applications.