Below are some illustrative examples demonstrating how ELM can be applied across different topics and disciplines. These are not exhaustive and are merely intended as a general guide to get you started. 1. Code Writing Objective: Write a Python script for data analysis. 2. Using ELM to support your literature search Objective: To help support a literature search strategy, including choosing appropriate research questions and choosing journals and databases 3. Summarising material Objective: Summarise a research article in the field of machine learning. 4. Searching for academic information Objective: Find scholarly sources on the impacts of climate change on agriculture. 5. Learning a subject Objective: Learn the basics of neural networks. 6. Developing teaching plan Objective: Create a lesson plan on the history of the Renaissance. 7. Generating research ideas Objective: Generate potential research topics for a PhD in environmental science. 8. Checking LLM's response to tutorial questions Objective: To evaluate the depth and insight of an LLM's response to a subjective analysis question regarding character development in Jane Austen's "Pride and Prejudice." 9. Create templates Objective: Develop a template for writing a research proposal. Click here to see further information on Prompting Click here to see techniques that allow you to develop your own prompts. This article was published on 2024-10-08