Large language model (LLM) applications like ChatGPT have taken the world by storm. This course will teach you how to leverage the latest developments in LLMs for real-world natural language processing use cases. Through lectures, tutorials, and hands-on labs, you will learn how to develop your own LLMs, leveraging foundation models such as GPT and BERT. With tools like Hugging Face’s transformers library, vector databases, and LangChain agents, you’ll see how to implement your own LLM solutions. 

By the end of the course, you will:

• Understand what LLMs like ChatGPT are from the ground up and use them for real-world business cases.
• Create fast and flexible data retrieval pipelines with vector databases for analysis with LLMs.
• Build your own LLM pipelines to talk to your data and perform various tasks beyond the traditional NLP problems.
• Understand the nuances of prompt engineering for tuning LLMs.

We've also launched a LLM program with edX, which consists of two courses. As there may be significant content overlap, we recommend that you dive into the additional learning content on edX following the conference.

Prerequisites:

• Intermediate-level experience with Python
• Working knowledge of machine learning and deep learning is helpful