Generative AI with LLMs

About

In recent years, AI technology, specifically LLMs like GPT-3 and GPT-4, have shown an impressive capacity to generate human-like text, enabling new applications in creative writing, chatbots, language translation, and more. However, understanding and effectively leveraging these models can be a complex task due to their sophisticated architecture and the vast amounts of data they require. This course aims to equip learners with the knowledge and skills to navigate these challenges, demystify the underlying principles of LLMs, and explore practical applications.

It is designed for AI practitioners, researchers, and enthusiasts who aspire to harness the power of generative AI in their work or research.

Participants will gain a basic understanding of AI and foundational concepts of large language models. They will learn the key components and architecture of models like Chat GPT, and how they are trained to generate human-like text. Students will gain a deep understanding of how to implement these generative AI models for a variety of tasks, such as text generation, text completion, and more complex applications like question answering, translation, and summarization. Students will learn how to use these existing pre-trained models via prompt engineering or fine-tune models for various NLP tasks in different domains like finance, marketing, healthcare, and education. Students will have hands-on experience in these areas. As AI grows increasingly powerful, it’s important to understand the ethical implications. Students can expect to learn about the ethical, societal, and legal issues surrounding the use of Large Language Models, including biases in AI, privacy concerns, and the potential misuse of these models.

Course leader

Kunpeng Zhang

Target group

Master | PhD | Postdocs | Professionals

Fee info