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How to write a great LLM prompt

and use less-powerful models for simpler tasks

Hey everyone,

This week, I want to discuss the need for using less-powerful LLM models for simpler tasks and how different models need specific instructions for better outputs.

I’m seeing four things with folks who use LLMs in production right now:

  • GPT-4 can do many things very well, but it can become quite expensive for production.

  • Builders turn to GPT-3.5 Turbo for cost savings, but struggle with results;

  • They then want to test models for other providers like Google and Anthropic, or an open-sourced model but they don't get the same results.

  • And lastly, they start thinking whether to fine-tune their own model.

Let’s talk about the strategies and how to go through this process.

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