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Unlocking the Power of COSTAR Prompt Engineering: Practical Guide and Case Studies

Β· One min read

COSTAR Framework​

  • Context: Providing background information helps the Language Model (LLM) understand the specific scenario.
  • Objective: Clearly defining the task helps guide the focus of the Language Model.
  • Style: Specifying the desired writing style makes the response from the Language Model more consistent.
  • Tone: Setting the tone ensures the response matches the required emotional expression.
  • Audience: Identifying the target audience makes the response from the Language Model more targeted.
  • Response: Providing the response format, such as text or JSON, ensures the output of the Language Model and assists in building workflows.

Resources​

https://medium.com/@frugalzentennial/unlocking-the-power-of-costar-prompt-engineering-a-guide-and-example-on-converting-goals-into-dc5751ce9875

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Top 5 AI Prompt Learning Websites

Β· One min read
xiaoka
Hi Here is xiaoka that likes to study efficiency tools and thinking patterns~

Here are the links to 5 amazing AI prompt websites that can double the efficiency of your AI tools!:

1. ChatGPT Prompts: snackprompt.com​

2. ChatGPT Prompts: flowgpt.com​

3. AI Prompts Directory: prompthero.com​

4. Stable Diffusion Prompts: publicprompts.art​

5. Learning Prompts: learningprompt.wiki​

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