Nemotron Agent ABYCS

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  image frontend Nemotron

Inspiration

Thanks to NVIDIA's Nemotron model, it has the ability to respond quickly and automatically in real time. I was inspired to work and experiment with NVIDIA's AI models, although unfortunately, this wasn't possible on this occasion due to restricted access to the website.

What it does

It responds in an autonomous chat style, allowing you to analyze the response and reply.

How we built it

The process involved creating a Next.js project to keep both the backend and frontend within a single project. TypeScript was used as the language. Initially, the main view was configured, and once that was complete, three components were created. Then, the route.ts file was created within the branching structure to enable API requests.

Challenges we ran into

The challenge is that the page https://console.crusoecloud.com/foundry/models is not allowed to consume the API.

Accomplishments that we're proud of

Understanding how you can easily consume an AI model simply involves building the view so that it can interact with users.

What we learned

I learned how to call an API using Next.js. I learned how to consume and interact with it, and how to build a simple Next.js project.

What's next for Nemotron Agent ABYCS

Looking ahead, I am AbyCs, an AI enthusiast, and I want to continue with the project and make it much more concrete.

Built With

• javascript
• next
• typescript