Use a pre-trained LLM to make a chatbot for customer service. The chatbot should be able to answer frequently asked questions, give answers that make sense in context, and send problems up the chain of command when necessary. You will use prompt engineering and APIs to deploy your work.

Make a tool that can read long documents or reviews and make short summaries while also doing sentiment analysis. The main goal of this project is to improve LLMs for tasks like summarization and classification.

Fine-tune an open-source LLM on datasets that are specific to your field, like healthcare, finance, or education. The project will test your skills in data preprocessing, fine-tuning, and measuring performance improvements.