Title: 2 User Transparency
Course: LLM_Prompt_Engineering_For_Developers > Section: Module 21: 2 User Transparency

2. User Transparency

Clear Communication

Users should be aware when they are interacting with an LLM and understand its limitations.

Example: If you are building a customer service chatbot powered by an LLM, inform users that their queries are being addressed by a model and not a human.

Solution: Include disclaimers like, “This response was generated by an AI model, and while it strives for accuracy, it may not reflect the most up-to-date information.”

3. Promoting Accountability