A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Understand

Prompt engineering has emerged as an indispensable technique for extending the capabilities of large language models (LLMs) and vision-language models (VLMs).

• This approach leverages task-specific instructions, known as prompts, to enhance model efficacy without modifying the core model parameters.
• Rather than updating the model parameters, prompts allow seamless integration of pre-trained models into downstream tasks by eliciting desired model behaviors solely based on the given prompt.
• Prompts can be natural language instructions that provide context to guide the model or learned vector representations that activate relevant knowledge.