However, the author notes a potential challenge with current models like ChatGPT, which are designed to always provide an answer. In the context of a help system, the author would prefer the model to ask clarifying questions when necessary, such as when certain variables need to be determined. For instance, if a user doesn't specify a file system in a disk partitioning and formatting query, the author would want the system to ask for this detail rather than providing steps for a specific one.
Key takeaways:
- The author is considering building a Language Model (LLM)-based help system to assist users in navigating complex modules.
- Current help resources like manuals and help pages are not being effectively utilized by users, possibly due to lack of training or infrequent use of the modules.
- The proposed LLM system would allow users to describe their needs or issues, and the system would then suggest appropriate actions and data inputs.
- One challenge is that current models like ChatGPT are designed to always provide an answer, whereas in this case, the system may need to ask clarifying questions to provide the most accurate help.