Welcome to the Beginners Guide to GPT-4 API & ChatGPT 3.5 Turbo API Tutorial
If you are new to the world of AI and natural language processing, then you may be wondering what GPT-4 API and ChatGPT 3.5 Turbo API are. These are powerful tools that allow developers to easily integrate advanced language models into their applications.
Getting Started with GPT-4 API
GPT-4 API is the latest version of OpenAI’s Generative Pre-trained Transformer (GPT) model. It is a state-of-the-art language model that is capable of generating human-like text based on a prompt. This API allows developers to access the GPT-4 model and use it in their own applications.
To get started with GPT-4 API, you will need to sign up for an API key from OpenAI. Once you have your API key, you can start making requests to the GPT-4 model and receive text generated by the AI. The documentation provided by OpenAI will guide you through the process of using the API and integrating it into your application.
Understanding ChatGPT 3.5 Turbo API
ChatGPT 3.5 Turbo API is an enhanced version of OpenAI’s ChatGPT model, which is specifically designed for conversational AI applications. This API allows developers to create chatbots and virtual assistants that can engage in natural and engaging conversations with users.
With ChatGPT 3.5 Turbo API, developers can access the advanced language model and use it to power their chatbot applications. The API provides a range of features, including customizable responses, context-aware conversation, and multi-turn dialogue management.
Integrating GPT-4 API and ChatGPT 3.5 Turbo API into Your Application
Once you have signed up for the API keys and familiarized yourself with the documentation, you can start integrating GPT-4 API and ChatGPT 3.5 Turbo API into your application. Depending on your programming language and platform, there are different SDKs and libraries available to make the integration process smooth and straightforward.
Whether you are building a customer service chatbot, a virtual assistant, or an AI-powered writing assistant, GPT-4 API and ChatGPT 3.5 Turbo API can provide powerful tools to enhance your application.
Conclusion
In conclusion, GPT-4 API and ChatGPT 3.5 Turbo API are powerful tools that enable developers to leverage advanced language models in their applications. By using these APIs, you can create AI-powered chatbots, virtual assistants, and other natural language processing applications that can provide engaging and context-aware interactions with users.
I did a few tests with 300 pages of Knowledge doc (certain law codices of specific county) uploaded for retrieval. And one question/answer cost was in a range of 0.07$ as it seems it uses that big knowledge doc as context tokens. So in a few questions i was over 300k tokens used lol Did i do anything wrong apart uploading such a big doc for knowledge retrieval and is there any optimisation for that?
So at the 11:40 section, are you just constantly sending a bigger and bigger string of text on each following prompt to the server to maintain context? Seems like you'd eventually hit a limit, and each call would be more costly.
My guy if you were sponsored by Microsoft you should’ve maybe not snubbed them with the ‘google search’ instead of bing, and saying ‘make a new account’ instead of sign in with Microsoft
I typed your exact code and it's giving me an error on the import configuration…
Hi Adrian, great video as always.
I tried it myself and it worked properly. But how is it possible to stream these ChatGPT responses while using Azure serverless functions? Maybe you can make a tutorial for this topic in the future
I just applied for 4.0api and have a lot of plus accounts for sale
I just applied for 4.0api and have a lot of plus accounts for sale
I just applied for 4.0api and have a lot of plus accounts for sale
I have return the same code…but I am gettting errors
Blimey. Do YOU breathe?
I turned on subtitles and it was one long 20 minute word.
Breathe. Pause. Slow down!
umm except youre using `gpt-3.5-turb` and never change it to `gpt-4`
Anyway, the problem im having is when i make that change, and ask it what version it is, it thinks its GPT-3 (at least thats what it says back to me)
Great video. Thanks for sharing this information.
Do we have git repo for your code please?
The organization id is optional , correct?
@AndrianTwarog can share the VSCode plug-ins used to auto completion?
3:44 this was the part I have been looking for none so far was able to show it. Thank you brother. If I get some lobe I would be happy to share my app url and may you all blow up my server happily 😊
This is a helpful video. Anyways here's a look of the app i released using ChatGPT 3.5 turbo api: https://youtu.be/ZRkiLog3E5g
This was some great info! I didn't think I'd get an Azure tutorial too but thanks for that. I never knew I could do that. I think this video would be better if you answered "why" for some things. Beginners need to know that or else it's just copy and paste which is not how you learn overtime. Still a nice video tho :^)
I performed all steps as described in the video, but the step at 5:43 still did not work. I get an error saying that the module cannot be found and the script does not work.
This is model gpt-3.5-turbo, not gpt-4