The challenges and limitations of using LLM prompts

While LLMs such as GPT-4 have demonstrated remarkable capabilities in generating human-like responses, they also come with their own set of challenges and limitations when it comes to crafting effective prompts. Some of these challenges and limitations are as follows:

• Verbosity: LLMs tend to generate verbose outputs, often providing more information than necessary or repeating ideas. Crafting prompts that encourage concise responses can be challenging and may require iterating on the prompt and setting appropriate constraints.
• Ambiguity: LLMs may struggle with ambiguous or poorly defined prompts, resulting in outputs that do not meet the user’s expectations. Users must invest time and effort to create clear and specific prompts that minimize ambiguity.
• Inconsistency: LLMs can sometimes generate responses that contain contradicting information or vary in quality across different runs. Ensuring the consistency...