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143 lines
9.1 KiB
Plaintext
143 lines
9.1 KiB
Plaintext
Episode: 3853
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Title: HPR3853: Creating a Prompt for ChatGPT to generate an HPR show
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Source: https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr3853/hpr3853.mp3
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Transcribed: 2025-10-25 06:40:28
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---
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This is Hacker Public Radio Episode 3853 for Wednesday the 10th of May 2023.
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Today's show is entitled, creating a prompt for chat GPT to generate an HPR show.
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It is the 70th show of Mr. X, and is about 10 minutes long.
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It carries an explicit flag.
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The summary is, a rushed episode going over the steps I used to create a chat GPT prompt
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to generate an HPR episode.
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Hello and welcome, Hacker Public Radio News.
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I welcome to this podcast.
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My name is Mr. X. As usual, I'd like to start by thanking the people at HPR for making
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the service available to us all on these here introduced.
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Hacker Public Radio is a community-led podcast provided by the community for the community.
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That means you can get a bit too.
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Why don't you pick up a microphone, a mobile phone, a tablet.
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Well, you've got the hand MP3 recorder, anything, and a send in a show.
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If I can do it anyone can, I'm worried about it.
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We're having short and short recently, and I'm sure you must have something interesting
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you can send in.
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In this episode, I decided to see if I could get chat GPT to generate an HPR episode about
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itself.
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I wasn't initially reluctant to do this.
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However, since HPR was recently short on shows, and I was short on time and ideas, I
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decided to give it a go.
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One reason for my reluctance was that I didn't want HPR to flooded with shows generated
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by chat GPT.
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The other reason being that a great show covering chat GPT was previously provided by the HPR
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host DNT, entitled Chatbot hallucinations, referred to HPR 3801, in comparison, my poor
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attempt took about 10 minutes to generate, while I was waiting to be called for lunch.
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All other steps I used to generate a prompt that I gave to chat GPT, and was to ultimately
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generate an HPR show.
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You interface with chat GPT by providing prompts.
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This just means typing some text into the input field within the chat GPT website.
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Here's how I did it.
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Keep in mind that the complete process took just 10 minutes.
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I visited the chat GPT website at chat.openai.com, then I copied and posted the following prompt
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into chat GPT text input field.
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The prompt came from a video I found on YouTube, I'll include the link to the video in the
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show notes.
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So the prompt was, I want you to become my prompt creator.
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Your goal is to help me craft the best possible prompt for my needs.
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The prompt will be used by you, chat GPT.
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You will follow the following process.
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One, your first response will be to ask me what the prompt should be about.
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I will provide my answer, but we will need to improve it through continual iterations
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by going through the next steps.
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Two, based on my input, you will generate three sections, A, revise prompt, provide your
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written prompt, it should be clear, concise and easily understood by you, B, suggestions,
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provide suggestions on what details to include in the prompt to improve it.
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C, questions, ask any relevant questions pertaining to what additional information is needed
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from me to improve the prompt.
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Three, we will continue this iterative process with me providing additional information
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to you and you updating the prompt in the revised prompt section until it is complete.
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Chat GPT responded with, sounds like a fun and collaborative process, what should the
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prompt be about.
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I replied with the following prompt.
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Write a show for the hacker public radio podcast describing the history and use of chat
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GPT, includes some examples about what it can be used for, also includes some relevant
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web links about chat GPT.
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Chat GPT responded with, great, based on your input, here are the revised prompt suggestions
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and questions for further clarification, revised prompt.
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Could the hacker public radio podcast episode that explores the history and application of
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chat GPT share examples of how chat GPT can be used and include relevant web links for
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listeners to learn more, suggestions.
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Consider including information about the development of chat GPT such as who created it and when.
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Provide a clear and concise example of how chat GPT could be used in various industries
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and fields such as customer services, content creation and chatbots, highlight the benefits
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and limitations of using chat GPT, including its ability to learn and adapt to user inputs
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and the potential ethical concerns surrounding its use.
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For relevant web links such as the official OpenAI website and articles about the latest
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developments in chat GPT technology, questions, is there a specific angle or focus you want
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to take in exploring this history and applications of chat GPT, do you have any specific examples
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or use cases of chat GPT that you would like to be included in the podcast episode, how
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the technical should the podcast be, should it cater to a more general audience or dive
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into more technical details.
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I replied with the following revised prompt.
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Could the hacker public radio podcast, or before I start bearing it mind, a more or less
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just copied the stuff up above with minimal tweaking, could the hacker public radio podcast
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episode that explores the history and application of chat GPT share examples of how chat GPT
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can be used and include relevant web links for listeners to learn more, including information
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about the development of chat GPT such as who created it and when.
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Provide clear and concise examples of how chat GPT can be used in various industries
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and fields such as customer services, content creation and chatbots.
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Highlight the benefits and limitations of using chat GPT, including its ability to learn
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and adapt to user inputs and the potential ethical concerns surrounding its use.
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In relevant web links such as official OpenAI website and articles about the latest developments
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in chat GPT technology, the show is mainly aimed at hobbyists, many of the listeners will
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have Linux experience and IT experience, some listeners may have some programming experience.
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The article should cater for both a general audience while also diving into more technical
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details, format the article using Markdown as required.
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Chat GPT responded with revised prompt.
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The Hacker Public Radio podcast episode exploring the history and application of chat GPT
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nattifish intelligence language model developed by OpenAI, the chat GPT has become increasingly
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popular due to its ability to understand and generate human like text, this application
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span a wide range of industries and fields, and this episode will dive into the deliverance
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of chat GPT including who created it and when we will explore the technology behind it
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how it has evolved over time.
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We will also provide clear and concise examples of how chat GPT can be used in various industries
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and fields such as customer services, content creation and chatbots.
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For example chat GPT can be used to generate personalities or sponsors to customer inquiries
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in real time, create high quality content for websites and social media platforms and power
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chatbots that consist of a range of tasks, and this in which we will highlight the benefits
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and limitations of using chatbot, including its ability to learn and adapt to users input
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and the potential ethical concerns surrounding its use.
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As chat GPT can use to grow in popularity it is important to consider the implications
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of using AI technology that can generate human like text such as the potential for bias
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and misinformation.
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To provide lessons with more information we will include relevant web links such as the
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official OpenAI website and articles about the latest developments in chat GPT technology.
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This episode will cater to a general audience who are also diving into more technical details
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for lessons with Linux, IT and programming experience.
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The article will be formatted using Markdown as required.
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Suggestions.
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Consider including interviews with experts in the field of AI or individuals who have used
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chat GPT in their work.
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The real world examples of how chat GPT has been used in various industries and fields
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discuss the potential future applications of chat GPT and whether technology may be
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headed.
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Adjust any concerns, misconceptions or concerns about the use of AI language models like
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chat GPT.
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Questions.
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Is there a specific length you would like the episode to be, are there any specific individuals
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or companies you would like us to feature in this episode?
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Is there any particular tone or style you would like us to use for podcast episodes?
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I stopped at this point and decided not to take any unborded further suggestions as I
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was limited in time.
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So I didn't bother offending it anymore.
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As I mentioned, the whole process just took 10 minutes, it was so easy.
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So I think I've also included in the show a general link to an article about chat GPT
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from Wikipedia again.
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It took seconds to find, and I also find an interesting TED talk which gives some of
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the background of the development of chat GPT by Greg Brockman.
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So in my next show, I'll actually provide the episode that chat GPT generated.
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So stay tuned for part two.
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And finally, if you want to contact me, I can be contacted at MrX at hpr.googlemail.com.
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That's MRX, AT, HPR, the at symbol, googlemail.com.
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Until next time, thank you, and goodbye.
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