ChatGPT runs on a big language model (LLM) - a machine learning approach that helps AI develop a deep understanding of language by way of the analysis of language patterns. We guarantee seamless API integration, clean knowledge trade, and workflow automation that helps you harness the full potential of ChatGPT integration. The model is 50% cheaper in OpenAI's API than GPT-4 Turbo while still matching its English and coding capabilities and outperforming it in non-English language, imaginative and prescient, and audio understanding -- a big win for builders. Reflecting on the restricted capabilities of AI, Alden Fletcher ‘24 identified the significance of human judgment. While we don't yet have a complete understanding of the character and origin of consciousness, it is clear that the biological and computational underpinnings of human consciousness are fundamentally different from these of AI techniques. Now, while I really like the convenience and simplicity of Clerk’s hosted signal-in and sign-up pages sometimes you want custom sign-in and signal-up pages to give your consumer a cohesive expertise from start to complete when using your app. Now, with this element, we do just a few things, to begin with, we fetch the present person from Clerk utilizing the currentUser() operate. In this code, we do a few issues, we create a new provider which we are able to use to wrap our web page after which we also outline a new customized hook known as useConversation that will enable us to entry the data inside the context.

We then render out the ConversationHistory element we created a second ago earlier than finishing the element with a customized footer that incorporates the UserButton part from Clerk that shows the user’s name if they gave it to us and permits them to sign out of the applying. You can see in this code, that we fetch all of the present user’s conversations when the pathname updates or the deleting state modifications, we then map over their conversations and show a Link for each of them that will take the user to the dialog's respective web page (we’ll create this later on). So, for the home web page, we want so as to add in the functionality to allow users to enter a brand new immediate and then have that input saved in the database earlier than redirecting the consumer to the newly created conversation’s page (which is able to 404 for the moment as we’re going to create this in the subsequent part).

So, now let’s work on including within the performance to allow customers to create new conversations which is where the home web page comes in. Now with our authentication setup, let’s check out implementing the final piece of our application’s structure, the sidebar. With our dialog historical past performance now full we can flip our consideration to constructing the sidebar itself and including within the UserButton part from Clerk that we talked about earlier. This sidebar will comprise two important pieces of functionality, the first is the dialog history of the at the moment authenticated person which can allow them to change between totally different conversations they’ve had. We'll discuss concerning the features of gpt gratis-four quickly, but before that, let’s first talk about how it's totally different from ChatGPT. The first thing we’ll need to do to create our custom signal-up and signal-in pages is to create the pages in our Next.js utility. So, protecting this in mind and to cut back the duplication of code, we’re going to construct a generic version of the enter field part known as GenericPromptInput and then we’re going to build a wrapper of this known as HomePromptInput that can add in the custom onSubmitHandler we want for the home page.

As chances are you'll recall, I mentioned earlier that the conversation web page and the home page will actually share the identical input part but with completely different onSubmitHandler features so let’s go about creating the dialog page’s model now. With our Server Actions now written for our dialog history functionality, let’s construct the UI for it. When the person logs into the applying they will be taken to the home web page that can show an enter area allowing them to ask one thing to the AI, when they fill in this input and submit it, we’ll create a brand new dialog within the database, producing a new UUID for the dialog. You can see both of those pages are quite similar in structure, they show the Icon component we made earlier before then displaying a title and rendering their respective pre-constructed Clerk element (SignIn or SignUp) from the @clerk/nextjs bundle. We’ll then return this UUID to the entrance end and redirect the user to that conversation’s particular page where the AI will then be triggered to reply and then the user can reply and so forth.

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