This video provides a highly practical framework for mastering RAG nuances, effectively turning abstract prompting techniques into actionable interview strategies. It is an essential resource for professionals seeking to bridge the gap between basic LLM usage and rigorous technical execution.
Deep Dive
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Deep Dive
RAG Interview Questions Prompt Engineering Tricks Few Shot vs Chain of Thought ExplainedHinzugefügt:
Do we need to do specific painting for the rack and secondly, how many more ways are there to provide specific painting to the rack.
So the first thing is what is specific processing?
What happened with specific processing is that we gave an identity to the rack, basically in simple words, now you are a software developer, so think like a software developer. If you are an architect then think like an architect. Whatever we have, it will start like this. Think like a software developer and you're a software developer and you're a designer. So, specifically for that role, we will write from that, okay, you are the designer.
This is your job.
You have to do this. So basically rule task and output. Now what are the other things and methods that can be used. One is chain of thought and the other is your few short learnings. So what is Few Short Learning? Few short learning sounds very techy. But what happens in that is that we give two-three examples to the rack that this has to be done. Like I said, if I have to get this work done, that I want to get Kartikeya's name written, then I will give him someone else's name once or write the name of a third person so that he comes to know that I have to answer in this manner. So basically we give two or three examples. Now what is chain of thought? You can understand chain of thought like this, if we say tell me step by step how to do it, then I mean steps.
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