Complete OpenAI's API ChatGPT Tutorial - [Become A Prompt Engineer in 15 Minutes]
ฝัง
- เผยแพร่เมื่อ 12 ก.พ. 2024
- Let's learn prompt engineering with OpenAI's API delves into the intricacies of crafting effective chat completions. It covers the significance of parameters like max_tokens and temperature in scaling your applications, along with strategies for formatting prompts to optimize performance and integration within your software solutions.
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OpenAI API - Create chat completion
Creates a model response for the given chat conversation.
platform.openai.com/docs/api-...
Key Takeaways:
✩ Understanding Parameters: Learn how the 'max_tokens' and 'temperature' settings can drastically impact the output of your AI-driven chat applications, influencing verbosity and creativity.
✩ Prompt Formatting: Discover best practices for structuring your prompts to achieve more relevant and contextually appropriate responses, enhancing the user experience.
✩ Application Scaling: Gain insights into effectively scaling your AI-powered features within software projects, ensuring efficient and responsive interactions.
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Navigate to key moments👇
made via tubestamp.com
0:00 - Importance of setting up prompts in AI software
1:51 - Leveraging playground within OpenAI dashboard
3:01 - Understanding variables like Max tokens and temperature
4:57 - Structuring prompts for software outputs
6:54 - Importance of minimal data input for better performance
8:45 - Guidelines for structuring email response prompts
10:07 - Importance of specific prompts for consistent outputs
Recap by TubeStamp ✏️
I'd like to award you with a digital Labor Day medal for your hard work.
Very wise choice to wait to release the genie. But can’t wait for it, love your genuinely great content
Love your content man. It’s very useful. Corbin we need a video on how to use OAuth in building GPT’s
Thanks! Check this video out; I show how to integrate OAuth with GPTs:
th-cam.com/video/6HFp0ISO4XI/w-d-xo.html
I'm fully subscribed to you Corbin. Thank you for this content.
How complicated do you get? Do you ever process an input more than once....like processing with a JSON schema and output format to pull keywords (parts or actual words) and output that as a variables to use with a second run where you produce the natural language output? Is that overkill?
Yes, definitely, additional processes may be needed to ensure consistent outputs at scale. I talk more about this logic in this video:
th-cam.com/video/L_ENjBxRI_Q/w-d-xo.html
Thank you for this video. Really helped me out ^^
Great video corbin
Thanks!
Can you set the temperature via zapier (assistant or assistant api)?
With the API, yes, but through a no-code way like Zapier, I believe no. But if you fine-tune your prompts well enough and provide previous context, the answers should be much more accurate!
Thanks buddy
Learned a little more, Cheers Corbin, I owe you a beer. Know a little secret now. hehe. Not mentioned in your vid. Thought i would expand on your code for fun. Added this at the end. " I want you to use this format response every time, but when I type in a different name I want you to change the email body name in that response. And change that new email response with a different name, into a different language. " The pieces are all coming together now.
🤝 🍻
Apologies, I'm not familiar with chat gpt API, I'm just an old school software engineer, but what's related to software and API here? You've basically shown how to use an application, and while it's using it sophisticatedly, I didn't get when you connect it to a real piece of software, or where is the API definition for hooking into it from a real piece of software?
The purpose of this video is to show you how to create prompts for the OpenAI API. If you wish to connect to software, I would suggest using VS Code and a backend like Google Cloud Functions.