https://cameronrwolfe.substack.com/p/practical-prompt-engineering-part

• Prompt engineering: An empirical science focused on optimizing LLM (Large Language Model) performance through various prompting strategies.
• Aims to understand prompting mechanics and employs techniques to enhance LLM capabilities.
• Zero/few-shot learning: A fundamental technique where LLMs perform tasks with minimal or no training examples, showcasing their remarkable adaptability.
• Instruction prompting: Another vital technique involving explicit instructions in prompts to guide LLM behavior.
• Overview intends to impart practical insights and strategies for effective prompt engineering and LLM utilization.
• Provides actionable tricks and takeaways for prompt engineers and LLM practitioners to enhance their effectiveness.