TECH 16 — Large Language Models for Business with Python
Quarter: Summer
Instructor(s): Charlie Flanagan
Date(s): Jul 11—Aug 29
Class Recording Available: Yes
Class Meeting Day: Thursdays
Class Meeting Time: 7:00—8:50 pm (PT)
Tuition: $500
Refund Deadline: Jul 13
Unit(s): 1
Status: Registration opens May 20, 8:30 am (PT)
Large language models (LLMs) help people with the everyday aspects of their lives, including writing content, increasing personal productivity, and simplifying daily tasks. By examining GPT-4, BERT, and other models, this transformative course offers an expansive and detailed understanding of LLMs and how they can be applied to create a competitive business advantage. The curriculum delves into the fundamental concepts, architectures, and training techniques required to create real-world applications, emphasizing hands-on experience using prominent platforms such as Python, LangChain, OpenAI, and Hugging Face. The course also teaches students the practical skills to create large language model applications such as automatic text generators, language translators, and models that gauge consumer sentiment toward products and brands. Additionally, students will learn the following:
- Differences between various model architectures and how to select which architecture is best suited for a particular use case
- Techniques for efficient training and fine-tuning of models
- Selecting and interpreting metrics that communicate how accurately the model makes predictions on new data it wasn’t trained on
Students are expected to have a basic understanding of Python and machine learning. Prior exposure to natural language processing would be beneficial but is not required.