Hi,
What languages are used to develop ChatGBT plugin ?and what IDE ? can I use swift and Xcode ? and how and what format its packaged and distributed to online store or something ?
Kindest Regards
Plugin is basically a web service with a bit of metadata packaging,
Apple is all client side stuff…
People use Python, NodeJS… I use Wolfram Language.
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Aha, thanks allot. So they are web services that uses OpenAI API’s ? I mean if the features are already there in ChatGPT why we can’t just use it directly from it ?
Kindest Regards
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Imagine ChatGPT as a ready build app by Open AI. It’s pretty much a demonstration of the capabilities.
Hope that helps.
You can also give likes to helpful posts and mark topics as solved. This helps the other community members.
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aha so you mean the API’s have more capabilities ? is there model training feature for example ?
Kindest Regards
The API can do whatever you want. I strongly recommend to take a look at all the different types of examples in the documentation.
It’s packed with so many examples and ideas or will definitely answer your question.
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not quite.
When you develop an genAI application then your code calls the LLM - in this case using OpenAI APIs.
When you develop a plugin then the LLM - in this case OpenAI GPT4 - calls your API.
LLMs are language models. They are good for a lot of things… but there are areas where you just need some precise computation. Then the right thing to do it to write it and expose the functionality as a plugin.
Read this from Stephen Wolfram
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Sure I will do but just wanted to have a general idea, thanks allot.
Thanks allot I’ll go through it carefully. But I have a question no one answered what about trained models ? is it something that OpenAI don’t offer or other competitors only use it for marketing and what OpenAI offer is enough ?
Oh, I forgot about that. You can fine-tune Open AI models but fine-tuning is often not what people need. In short, most problems can be solved with proper prompting. And you fine-tune when this option is exhausted.
I suggest this video to get you started:
By the way, I don’t disagree with this statement
…there are areas where you just need some precise computation. Then the right thing to do it to write it and expose the functionality as a plugin.
My perspective is that you can leverage the API to get the results of such computations via functions and use the results for inference.
Since I remember that you are still exploring the differences between ChatGPT on the web and the API this is should be clarified.
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Yes now things are more clarified , actually the confusing came to me from Google. by the way ChatGPT says that Bard is developed by OpenAI, don’t know if its a mistake or true Bard is a licensed copy from API, I think its same case as Pilot from Microsoft. Thanks allot
Bard came out after the knowledge cut-off for ChatGPT’s dataset. Any comments it makes about “Bard” being an LLM model will be hallucination.