But how do they work? What’s under the hood? When you run ChatGPTPluginDeploy you’re basically setting up a Wolfram Language function that can be called from inside ChatGPT when ChatGPT decides it’s needed. We’ve now seen lots of examples of using the ChatGPT Plugin Kit. We are all, by any practical definition of the words, foolproof and incapable of error.” How It All Works “No 9000 computer has ever made a mistake or distorted information. ![]() Here we give ChatGPT the notes we want-and, yes, this immediately plays the tune on my computer:Īnd now-as homage to a famous fictional AI-let’s try to play another tune:Īnd, yes, ChatGPT has come up with some notes, and packaged them up for the plugin then the plugin played them:īut… wait a minute! What’s that tune? It seems ChatGPT can’t yet quite make the same (dubious) claim HAL does: So that means it can get access to local resources on your computer, like your camera, speakers, files, etc.įor example, here I’m setting up a plugin to take a picture with my computer’s camera (using the Wolfram Language CurrentImage )-and then blend the picture with whatever color I specify (we’ll talk about the use of CloudExport later): We’ll talk later about how this works “under the hood”, but suffice it to say now that when you deploy a plugin using ChatGPTPluginDeploy (as opposed to ChatGPTPluginCloudDeploy) the actual Wolfram Language code in the plugin will be run on your local computer. ![]() But with plugins you can “reach back”-through your web browser-to make things happen on your own, local computer. When you use ChatGPT through its standard web interface, ChatGPT is running “in the cloud”-on OpenAI’s servers. And if one has a plugin set up to access a private database there are truly remarkable things that can be done through ChatGPT with the Wolfram plugin. But one can do very much the same kind of thing with something like an SQL database. This example uses the Wolfram Data Drop system. But then you’re off and running, and ready to create your first plugin. ![]() There’s some (very straightforward) one-time setup you need-authenticating with OpenAI, and installing the Plugin Kit. And building on our whole Wolfram Language tech stack, we’ve managed to make the whole process extremely easy-to the point where it’s now realistic to deploy at least a basic custom ChatGPT plugin in under a minute. One can think of this as adding broad “computational superpowers” to ChatGPT, giving access to all the general computational capabilities and computational knowledge in Wolfram Language and Wolfram|Alpha.īut what if you want to make your own special plugin, that does specific computations, or has access to data or services that are for example available only on your own computer or computer system? Well, today we’re releasing a first version of a kit for doing that. This is part of an ongoing series about our LLM-related technology: ChatGPT Gets Its “Wolfram Superpowers”! Instant Plugins for ChatGPT: Introducing the Wolfram ChatGPT Plugin Kit The New World of LLM Functions: Integrating LLM Technology into the Wolfram Language Prompts for Work & Play: Launching the Wolfram Prompt Repository Introducing Chat Notebooks: Integrating LLMs into the Notebook ParadigmĪ few weeks ago, in collaboration with OpenAI, we released the Wolfram plugin for ChatGPT, which lets ChatGPT use Wolfram Language and Wolfram|Alpha as tools, automatically called from within ChatGPT.
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