Demostack vs. Hugging Face

product demonstration online webinars this is where you will find it the most useful.

If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face

Incentivized

• Easy to create custom demos in just a few minutes
• Build a Tour of custom demos that prospects can access and share any time
• Team is very responsive and helpful with bug fixes
• Tech roadmap moves fast and they have been adding features based on our requests regularly

• Model APIs
• Hugging Face Spaces for deploying demo apps
• Latest updated models available easily
• Vast support for language parsing and other relevant tasks

Incentivized

• Demo stack enables every single feature on our dashboard I cant ask for anything more.

• Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
• It’s good to have some visualization tool in hugging face for viewing model architecture.
• I recommend to implement hugging face lite version so that it can run on any system with less specifications.

Incentivized

Demostack has become essential for our GTM strategy. Before Demostack, we had to put 4 - 6 hours into creating a custom demo for prospects. We can now do the same in 5 minutes or less. So generic assets - platform demos, capabilities decks, proposals, digital sales rooms, etc. - are now custom for each prospect. The Demostack team is also fantastic to work with. Accessible, responsive, and collaborative.

Demostack plays a key role in enabling me to give interactive demos that showcase real-world use cases. This allows potential customers to see how our solutions can directly address their needs in a tangible and engaging way

with Figma it took ages to load nad you have to create a new demo for every other product feature. With Demostack you can switch between product features as if you are on a real product dashboard.

There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.

Incentivized

• Only positive impact on ROI. Deals cycles have gone from +18 months to as little as 8 weeks.
• Deals that include custom demos are 100% more likely to close
• Demostack has made our sales cycle shorter and our win rate higher because we can how prospects exactly how the tech will work for them.

• Hugging Face is cost and time saving.
• Pay is less, you pay what you use, doesn't affect much.
• Overall positive impact on business.

Incentivized