Prompt Engineering quick guide

<!-- SC_OFF --><div class="md"><p>I tested 10 common prompt engineering techniques against a structured JSON format across identical tasks (marketing plans, code debugging, legal

<!-- SC_OFF --><div class="md"><p>Since prompt engineering questions are showing up in interviews for roles like data engineer, AI engineer, and software engineer, it helps to

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1s83uph/prompt_engineering_is_just_regular_engineering/"> <img alt="Prompt Engineering Is Just Regular

<p>Imagine you have a super-smart assistant. This assistant can write stories, create images, or even help plan your day. All you have to do is tell it what you want. You don't

<!-- SC_OFF --><div class="md"><p>For years I assumed bad AI output was just a sign that the model was not good enough. I kept trying different prompts, testing different GTPs,

<p>The idea of a “prompt library” has become a bit confusing lately. Some platforms look like documentation hubs, others behave like AI builders, and a few are simply

<!-- SC_OFF --><div class="md"><p>So I'm looking in these files and I see a huge dump. It seems like there's the entire base instruction. Is this already open source or am I

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1tta51s/streamlined_prompt_hacks_every_producer_should/"> <img alt="Streamlined Prompt Hacks Every Producer