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. Return to the main ELM page This article was published on 2024-10-08
