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Google AI Prompt Engineering Best Practices: 12 Key Techniques from 2025 White Pape

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

1. Provide examples​

One-shot/few-shot: You can provide a single example or multiple examples.

Providing examples allows the model to analyze and capture the characteristics of the results that are similar to the examples, achieving better outcomes.

Example 1: Product description generation (Few-shot)​

Prompt:

Write an e-commerce description for a new Bluetooth headset based on the example:

Example product: Smartwatch
Features: 50m water resistance/2-week battery life/blood oxygen detection
Copy: Challenge the depths of 50 meters, accompanying you to explore the underwater world. Long-lasting battery life of 14 days, continuous health monitoring day and night...

New product: Wireless noise-canceling headphones
Features: 40dB active noise cancellation/30-hour battery life/spatial audio

YC 2023-2024: Top AI Startups Innovation and Investment Insights

· 14 min read

YC (Y Combinator) is a globally renowned startup accelerator, attracting numerous innovative projects. In the S23 and W24 batches, YC incubated a group of promising AI-related projects. These projects span multiple fields including Legal, Energy, Finance, and Medical, showcasing the wide-ranging applications of AI technology across various industries. Below is detailed information about these AI startups:

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

· 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

· One min read
xiaoka
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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