Applied NLP with ChatGPT and Language Models

Are you looking to make sense of large amounts of text data but don't know where to start? This course introduces you to the power of Natural Language Processing (NLP) using modern AI, giving you the ability to analyze and process text efficiently. By completing this course, you will be able to build practical NLP applications by writing clear and effective instructions for large language models. You'll learn how to transform raw text into structured insights, automate repetitive tasks, and leverage AI to solve real-world text analysis challenges. What you'll learn: - Understand the core concepts of Natural Language Processing, from tokenization to embeddings. - Master the fundamentals of prompt engineering to control and guide AI model outputs for specific tasks. - Build an automated text summarization tool to distill long articles into concise summaries. - Perform sentiment analysis on text data to classify opinions as positive, negative, or neutral. - Practice extracting structured information, like names and dates, from unstructured paragraphs. - Learn the basic principles of Retrieval-Augmented Generation (RAG) to make models answer questions based on your own documents. - Grasp the ethical considerations and limitations of working with large language models. The course starts with the foundational terminology of NLP and language models, then moves into practical, text-based exercises where you'll apply what you've learned. Each section builds on the last, giving you a solid framework for text processing. This course is designed for absolute beginners. No prior experience with artificial intelligence or NLP is necessary to get started. Begin your journey into the world of applied language AI today.