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What is ChatGPT-4 System Prompt Engineering? – Ultimate Guide
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Discover how to optimize your AI experience by understanding System Roles in GPT-4 / ChatGPT! In this video, we’ll guide you through the key components that shape your AI’s behavior, from giving it a name and persona, to assigning roles, providing context, and defining tasks. Learn how these elements come together to improve user satisfaction, increase control over responses, and unlock new applications.
Watch now and start harnessing the full power of GPT-4 / ChatGPT for your business and creative needs!
00:00 GPT-4 / ChatGPT AI System Prompt Engineering
00:21 What is a ChatGPT System Role?
01:36 Why use System Roles?
03:17 ChatGPT System Role Name / Persona
08:02 ChatGPT System Roleplay
12:19 ChatGPT System Context
16:50 ChatGPT System Task / Objectives
20:50 ChatGPT System Role Examples
25:13 ChatGPT System Role Conclusion
Thank you for the detailed video and the information you provided.
Love your content!
too long, summarize it in one minute giving the most important things for me to use
My output before this video: 2+2 is 4
My output after this video: 2+2 is 40
More is better ๐
Can you give code for autonomous agents you build
I got really into prompt engineering. Then I got GPT-4, and I could give the most vague instructions and I would get just as good results.
I canโt imagine what GPT-5, or 6 would be able to do.
Amazing as always. That generated text is a bit much though, very distracting
Annoying that you used GPT4 in the playground then GPT3.5 in ChatGPT … which obviously behaves very differently / responds to prompts differently
The most difficult is to identify model hallucinations… sometimes tell you bullshit, but like he knows what it talks about… And this can occur anytime, especially after a long Q&A
How will people deal with this problem?
For the system roleplay, do you need to know the exact role or is something approximating it fine?
Great.!
Do you have a formation in prompt Engineering ?
Can I use this method in chat gpt 3?
This channel is great but would be much better without having to listen over the background music to hear the narration. I don't know of any large tech channels that have background music and narration at the same time, it doesn't seem to be a positive attribute.
Thank you. This has been the most comprehensive, yet beginner friendly, prompt creation tutorial Iโve seen so far. I feel like I can finally start playing around with creating prompts while also having a guide for improving them as well.
Absolutely amazing, you've opened my eye to see what I knew was possible. You, my man, are so awesome. Loved the video and was so in tuned to every word. You have a talent that transcends most human abilities, with a freaking Dr.'s in heterogeneous prompt engineering and mastering the art of artificial intelligence. Forever a lifetime subscriber, talk all my money… ๐ค
Nice content! Good job.
Just wanted to point out that you have "gpt", "3", "gpt", "4" as 4 different channel keywords instead of 2 keywords "gpt3", "gpt4". Was that intentional?
Does anyone else feel like these responses are super cringe and robotic? The core of this is excellent but there are steps missing to make it feel human not like a frankenstein monster of redditor stereotypes.
๏ผ ๆจๅฅฝ๏ผไธบไปไนๆๅๅป้พๆฅๅ ๅ ฅๅฎๆถ่ๅคฉไปฅ่ทๅpdfๅง็ป35 + ChatGPT
I followed your tutorial, and asked ChatGPT to write me a pitch deck for a startup idea. He basically created the slide templates and no more. What am I missing here?
I tried all you said, asked ChatGPT to build a pitch deck, and it only wrote a template. What did I miss?
This is a very interesting video!
I have a question: I see that you start with 6:58 "ignore previous instructions", maybe to mimic the behavior of the API. So my question is: do you know what kind of instructions or setup has chat GPT? I mean, how could be prepare the API to respond like the webapp chat?
Thanks!
This was an outstanding presentation. Very well thought out, and creative. Thank you. Signal amongst the noise.
Itโs better than scrolling through forums for coding answers, but thr grifters are all over these tools like flys on shit.
Great content gents.
Quick tip for Lucien – stop using Richard's name every second sentence. It's really off-putting.
You are increasingly becoming a significant resource for me when it comes to prompt engineering. I appreciate your efforts and contributions! You're becoming a ๐ in my prompt engineering journey! Thanks for all your hard work! ๐
Great job bro, I would love to invite you to make a presentation to my data analytics team! Congrats! I learned something with you today.
So when using the API you can specify Role seperate from the content. How would you go about applying this when using the api? Do you specify the role under Role or do you just use the same prompt under Content?
Great video thanks!
Do you know what the limit to the size of the system prompt is, or how many words are too many ?
I would like to have an idea of how long I can make it before it starts being too much, and if after a certain size it becomes less performant or starts ignoring some parts of the system prompt.
๐ฏ Key Takeaways for quick navigation:
00:00 ๐ A GPT system role is an initial instruction that guides the behavior of the model, allowing customization of the chatbot to specific needs.
01:47 ๐ ๏ธ Using system roles enhances steerability, consistency, context awareness, safety, and adaptability in controlling AI models.
03:35 ๐งโ๐ผ Giving the AI a persona, background, and experience improves output and supports branding for consistent interactions.
05:56 ๐ต๏ธโโ๏ธ System roles can be used to role-play various personas like a professional gray hat cybersecurity expert for tailored responses.
08:16 ๐ง Adding context to the model, such as articles or statistics, enhances accuracy and relevance of responses.
11:36 ๐ Task and objective-oriented system roles ensure clear tasks and targeted responses, improving user satisfaction.
19:23 ๐ Task-oriented system roles can make AI respond in a step-by-step format, providing specific instructions.
22:12 ๐ Combining a system role with context can result in more engaging and interactive AI-generated content, as seen in a children's story example.
24:33 ๐ GPT system roles allow for the creation of nuanced AI responses, as seen in the example of setting up a professional neurologist to write a scientific paper about self-improving AI systems.
25:13 ๐ง System roles significantly improve the quality of large language models, providing better control and user satisfaction.
25:55 ๐ Benefits of using system roles include better control, increased satisfaction, and versatile use cases for tailored responses.
26:09 ๐งโ๐ผ Key components of a system role include setting a name or persona, specifying roles and expertise, providing context, defining tasks and objectives, and using an iterative process to optimize performance.