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In this week’s video covers the commonest mistake we see on RAG tasks. Many groups begin the identical approach they might a conventional software program engineering mission: with a person demo. Demos make sense when person adoption is the most important danger. However with LLMs, that’s not the issue. The true problem is getting the mannequin to carry out reliably and never make pricey errors.
While you construct a chat interface in your information, customers will ask just a few questions, get some responses, and say, “That is cool.” However that suggestions is shallow — it doesn’t provide the transparency you want into how your system truly performs.
As an alternative of constructing a demo, generate a set of consultant questions your customers are more likely to ask, together with the specified solutions. Run them by means of your utility and evaluate the outcomes with customers. This course of will floor actual insights — dangers, gaps, and enchancment areas.
It is a efficiency analysis framework, a crucial a part of Efficiency-Pushed Growth or PDD. It provides you the transparency it’s good to perceive your system’s strengths and weaknesses, so you possibly can iterate and enhance based mostly on information — not subjective opinions. Take a look at our GitHub repo for more on PDD.
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Kevin
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Based in 2017, Prolego is an elite consulting group of AI engineers, strategists, and inventive professionals guiding the world’s largest firms by means of the AI transformation (www.prolego.com).