Here are some tips for prompt engineering: - Deepstash

Here are some tips for prompt engineering:

  • Be specific and clear in your prompt. Tell the LLM exactly what you want it to generate.
  • Provide the LLM with the necessary context and background information.
  • Use examples to illustrate what you are looking for. This can help the LLM to generate the desired output.
  • Break down complex tasks into smaller, more manageable tasks. This will make it easier for the LLM to generate the desired output.
  • Use feedback to refine your prompts. If the LLM does not generate the desired output, try to identify the reason why and refine your prompt accordingly.

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prabhal.ak

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Similar ideas to Here are some tips for prompt engineering:

Illuminate with Examples, Refine with Tests

  • Use examples to illustrate what you want the language model to produce. This can help the language model understand your expectations and produce the desired results.
  • Test your prompts and refine them as needed. If you're not getting the results you want, try rephrasing your prompt...

Simplify and Break Down

  • Use simple and straightforward language. Avoid using jargon or technical terms that the language model may not understand.
  • Break down complex tasks into smaller, more manageable steps. This will make it easier for the language model to understand what you want it to do.

Here are some other tips for staying focused and motivated:

  • If you’re not feeling motivated, think about the results of your goals, not just the goals themselves. 
  • Remember your successes, even small successes. Remember how good it feels to succeed.
  • Get the important things done first. 
  • Stay focused, motivated and concentrate ...

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