When you're setting up a prompt in an application, how do you usually think about dividing up your instructions between the system prompt, the user prompt, and any examples you want to give the model?

Never give up. Let’s connect

Consistency pays off

X and YouTube

Accessibility and SEO

It sure lost a lot of users

I don’t think they use CLI

That’s a founder mindset

Consistency pays off

I think they are just following the industry standard

It’s all AI now

For internal docs, RAG is almost always the right answer because documentation updates constantly, RAG lets you cite exact sources, and language models aren't reliable databases for factual recall. You reserve fine-tuning for changing how a model behaves, like teaching it a specific tone or structured output format, while you use RAG and prompting to give it the actual facts.

AI Engineering Interview question: If a product manager asks you to fine-tune a model on our internal company docs so it can answer employee questions, how would you evaluate whether fine-tuning is actually the right approach versus using RAG or prompt engineering?

No, coding practice is already covered by the LeetCode, we are focusing on interview simulations

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OpenAI

No more privacy for me at this point

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