How to Talk to AI: Advanced Prompt Engineering Techniques

Think about how you talk to a friend when you need help. The way you ask a question can change how well they understand you and how they will answer you. This is similar to how we interact with AI models through something called prompt engineering. Prompt engineering is all about creating and fine-tuning the questions or commands—called "prompts"—that we give to AI models, like the ones that generate text.

Prompt engineering is important because it helps us get better answers from these AI systems. A good prompt can lead to clear and useful responses, while a poorly worded prompt might give confusing or off-topic answers. This skill is essential for anyone who wants to make the most out of AI, whether for writing, learning, or solving problems.

To learn more about specific techniques for crafting effective prompts and enhancing your interactions with AI, the followings are some detailed post introducing multiple prompt engineering techniques:

1. Shot-based prompting

Shot-based Prompting discusses in detail what shot-based prompting is, and provide example prompts and scenarios.

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2. Chain-of-Thought Prompting

Chain-of-Thought Prompting explains what chain-of-thought prompting ism including its types, application, benefits and challenges.

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3. ReAct Prompting

ReAct Prompting discusses on a prompting approach - ReAct suggested by Yao et al. in late 2022 which combines thinking process and action together to allow the LLM to provide more relevant and up to date answers.

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4. Meta Prompting

Meta Prompting introduces the new prompting technique - Meta Prompting - developed late last year that emphasizes the structural and syntactical aspects of tasks rather than specific content.

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