How You Can Use Few-Shot Learning In LLM Prompting To Improve Its Performance

You must’ve noticed that large language models can sometimes generate information that seems plausible but isn't factually accurate. Providing more explicit instructions and context is one of the key ways to reduce such LLM hallucinations. That said, have you ever struggled to get an AI model to understand precisely what you want to achieve? Perhaps you've provided detailed instructions only to receive outputs that fall short of the mark?