Building an AI Application with OpenAI and Vercel in Just One Afternoon

Julian PerelliJulian Perelli

Julian Perelli

Building an AI Application with OpenAI and Vercel in Just One Afternoon
Photographer: Joshua Aragon | Source: Unsplash

In today's world, AI is becoming increasingly popular and necessary to stay ahead of the competition. Building an AI application may seem like a daunting task, but with the right tools and knowledge, it is possible to create one in just one afternoon. This article will explore how to build an AI application with OpenAI and Vercel that can be completed in just one afternoon.

What is a Large Language Model (LLM)?

Before we dive into the details of building an AI application with OpenAI and Vercel, let's first understand what a Large Language Model (LLM) is. A Large Language Model is a type of AI model that can process large amounts of human language data and produce language output that is similar to human language.

LLMs are used in a variety of applications, such as chatbots, language translation, and content creation.

What is OpenAI?

OpenAI is an AI research laboratory consisting of the for-profit corporation OpenAI LP, and its parent company, the non-profit OpenAI Inc.

OpenAI provides access to their AI models through their API, allowing developers to build powerful AI applications without having to train their own models.

What is Vercel?

Vercel is a cloud platform that specializes in hosting and deploying web applications. It provides an scalable platform for static sites and serverless functions.

Vercel's feature-rich platform also includes many tools and services that can help developers to build and deploy their applications.

Building an AI Application with OpenAI and Vercel

To build an AI application with OpenAI and Vercel, we will need to follow a few simple steps.

The code for the API call is simple and straightforward. With just a few lines of code, we can connect our simple app to OpenAI:

const openai = new OpenAIApi(configuration);
try {
const res = await openai.createChatCompletion({
model:"gpt-3.5-turbo",
messages:[
{"role": "system", "content": "You are a color mix expert."},
{"role": "user", "content": `Put a name to RGB ${color}. Give me short concise instructions to mix colors to form it, using the palette "${paletteObj.name}: ${paletteObj.colors.join(", ")}".`}
],
'max_tokens': 200,
})

Once we have completed our AI application, we can upload the code to GitHub and connect the repository to Vercel for automatic deployment. Our AI application will be live and accessible through Vercel's platform.

If you want to see the detail of the code, you can go to the GitHub repository.

Conclusion

Building an AI application with OpenAI and Vercel is a revolutionary step toward the future of AI development. With the ability to create a functioning AI application in just one afternoon, developers and software engineers can now be even more innovative and creative in their work.

As AI continues to grow and evolve, so will the potential for AI applications, and we can't wait to see what the future holds.