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Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap
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Hugging Face Blog

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AI LabsHugging Face Blog

Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap

Everybody knows that a great visual is worth a thousand words. The team at Prezi, a visual communications software company, is putting this insight into practice with their Prezi presentations that combine images and text in highly dynamic presentations.

Prezi has joined the Hugging Face Expert Support Program to fully leverage modern machine learning's potential. Over the past months, Hugging Face has supported Prezi in integrating smaller, more efficient open-source models into their ML workflows. This cooperation started at a perfect time, as multimodal models are becoming increasingly capable.

We recently sat down with Máté Börcsök, a backend engineer at Prezi, to talk about their experience in the Expert Support Program. In this short video, Máté walks us through some of their machine learning work and shares their experience collaborating with our team via the Expert Support Program.

If you'd like to accelerate your machine learning roadmap with the help of our experts, as Máté and his team did, visit hf.co/support to learn more about our Expert Support Program and request a quote.

Transcript with additional details:

Introduction

My name is Máté, and I am a backend engineer at Prezi, an online presentation tool that brings your ideas to life.

How does the HF Expert Support Program help you build AI?

Our flagship AI product at Prezi is Prezi AI, which helps our users create better Prezi presentations faster. Users start by providing a prompt and description of the presentation they want to create. The system then automatically creates a draft presentation for them to get started. It’s a complex system that calls different services and builds up the presentation’s structure using closed models and various asset provider services.

Original source

This story was published by Hugging Face Blog. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on huggingface.co

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