Discord vs. Hugging Face

Discord works phenomenally if you want a chat platform that is free, quick to set up, and very flexible in the ways you can start using it. It doesn't require a complex set of logins for different servers and confusion about adding new members, or tough pricing right out of the gate. If you prefer to view full conversations all in one place without them "splintering" off into branches that are missed, Discord works great for this. All in all, Discord is great for startup companies or lean working companies, but it does not lend itself as well for larger, traditional "corporate" enterprises.

Incentivized

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

• One to many Communications to ensure that we can quickly get messages out when we have to.
• Quick polling of questions and issues
• The ability to gate channels so we can focus on folks that we know are stakeholders gives them an added feeling of belonging and that they have a say in the direction of projects.

Incentivized

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

Incentivized

• Better volume balancing between members on a call.
• More customizability of the notification sound for each server. It would be nice to set each of my important servers with a different notification sound.
• More expansive note section when you view another user's profile. I'd like to be able to contain more information there in a more organized way.

Incentivized

• 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

It just works, and works well. Very rarely does anything go wrong, and I can't remember the last outage (sure there's been some but very rare and not something I even think about or worry about). Desktop clients, web access, mobile clients - the lot. Very happy with our easy it is to use.

Incentivized

There is plenty of online documentation and knowledge base articles. As well as having an open API to be able to tie it into other products makes it a really viable solution for any business. I have never had to contact support, any questions which I have need answered can be found in the documentation,

Incentivized

I like Slack for more professional settings, but Discord is excellent for casual groups, especially when a few people do not have iPhones. They're very similar, but I think there are a lot of Discord features I don't take advantage of, mainly because there seems to be so much in the sidebar that overwhelms me a bit.

Incentivized

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

• Discord has allowed us to connect to students when typical email & text would not work.
• Discord has allowed easy creation and communication for small group leaders and their students.
• Discord is free and so many students have access to it.

Incentivized

• 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