Building a GPT-3 app with Next.js and Vercel Edge Functions
Vercel publishes a guide on building GPT-3 applications using Next.js and Vercel Edge Functions, demonstrating serverless and streaming approaches via a Twitter bio generator example.
The field of artificial intelligence continues to take the world by storm. Huge strides have been made in text and image generation through tools like ChatGPT, GPT-3, DALL-E, and Stable Diffusion. It’s spawned a wave of exciting AI startups, many of which we’re seeing .built with Vercel and Next.js One of the most exciting developments in the AI space is GPT-3, a cutting-edge natural language processing model developed by . With its ability to understand and generate human-like text, GPT-3 has the potential to disrupt how we perform many of our tasks.OpenAI In this blog post, we’re going to break down how to build GPT-3 Apps with OpenAI, Next.js, and .
We’ll do this by building —first with serverless functions, then rebuilding it with Edge Functions and streaming to showcase the speed and UX benefits. By the end, you should be able to build your own GPT-3-powered applications.Vercel Edge Functionstwitterbio.com The Next.js frontend consists of a few elements: Here’s what the code for our looks like. We have a few pieces of state that correspond to the elements mentioned above. We’re also defining a prompt—like ChatGPT, we need to send a prompt to GPT-3 to instruct it to generate…