From the course: AI-Powered Data Analysis: Beyond Prompting
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Run the Iteration Loop on the finding you just built - Claude Tutorial
From the course: AI-Powered Data Analysis: Beyond Prompting
Run the Iteration Loop on the finding you just built
Chapter two is all about iterative analysis workflows and the Iteration Loop we will run. We'll use the framework of challenge, quantify, and confirm. So first and foremost, we're gonna challenge AI and challenge its own finding and we'll turn AI against its own answer. So the biggest answer we found in chapter one is that the engagement drop is likely to be driven by three managers, S1, S2, and CS1. So we're gonna test this, we're gonna challenge this. And then step two, we'll be quantifying the findings. So we'll pin down the exact size of these findings and stress test them. And then step three will be about confirmation where we will use a second independent signal to confirm what we have found. So the prompts are in your prompts file. And again, I will be using Gemini, the paid version, and I will just mention that large language models are non-deterministic, so it's okay if you see slightly different answers and outputs and results, because it should be the case. You can use…
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