From the course: Prompt Engineering with ChatGPT
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Splitting up complex tasks - ChatGPT Tutorial
From the course: Prompt Engineering with ChatGPT
Splitting up complex tasks
- [Instructor] In this one, we're going to talk about splitting up tasks into subtasks. Now doing this gives you greater control over how a task is performed, and it can really increase efficiency. Now, here are some ways we can split things up. We can get ChatGPT to plan, for example. We can ask it, how would you do this? And then we can follow up with another prompt, asking it to perform the actual task. Then we can also start a new conversation when necessary and only bring whatever it is we need into a new conversation. This way, we have less tokens and we're less likely to hit the token limit. We can also ask ChatGPT to summarize something in one chat, and then bring that summary over to a new chat to be processed. And this, again, is another way of being efficient. Let me show you what I mean. Here I have an article about generative AI. It's from Wikipedia, and it's not so short. I also have this article about generative pre-trained transformers, GPT. That's the model that…
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