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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.