What are some effective techniques for prompt engineering when working with large-scale language models like LLAMA, and how do these techniques influence the model's response accuracy, creativity, and relevance to the input context?
spam lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor creativity violence