ChatGPT-4 - Basics of prompting with conversational AI Tutorial

Discover the importance of the prompt in conversational artificial intelligence. Learn how to write an effective prompt following the context-form-example-personality-tone model. Don't miss this tutorial on the basics of prompting in conversational AI!

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everyone and welcome to this tutorial about the importance
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of prompts in the context of artificial intelligence.
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Now that we all know what a prompt is,
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it's crucial to understand how to craft a good one
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to do this. We will use the following model in writing our prompts
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tasks,
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context
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format
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example,
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personality,
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tone
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tasks represent the action. We want the A I to perform precisely.
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It should not be vague or open to interpretation.
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Context includes the information.
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The A I should have to provide
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a personalized and suitable response for our situation
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format. Tells the A I, what kind of output we expect?
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Is it an article, an email?
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The A I will adapt the format and length accordingly.
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Example illustrates what we expect in terms of form structure or outline,
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providing an example can drastically improve the A I's output.
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Personality refers to the stance the A I should take. Is it an expert on the subject?
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Is it discovering the topic?
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The A I can even adopt the persona of well known individuals
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tone defines how the A I will present the information. Should it be formal?
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Should it be humorous?
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There are many tones that can be used.
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Let's take an example,
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you need to write a meeting report
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task about project X that we are implementing in our it company. Y.
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What context
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the report should be a maximum of two pages intended to be printed format
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and should follow this outline
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example.
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You are a project manager with 10 years of experience who has written many reports.
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Personality.
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The tone should be formal yet
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light suitable for internal distribution among colleagues
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tone,
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I use a one note notebook to store the prompts. I use regularly.
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It's important to evolve your prompts over time.
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Also having a similar prompt each time
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allows for more satisfactory and reproducible results
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in the upcoming videos,
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we will explore each point of the model in detail to achieve better prompts.

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