Hugging Face vs. OpenText Vibe

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

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I think Micro Focus Vibe is very well suited for organizations that work in a team collaboration front and have to share documents. I think this really shines in organizations that have a standard set of information that gets lost in the sauce because of the sheer amount of people in an organization. In this case, the Wiki is very helpful in this setting. I wouldn't quite recommend this site for video production houses unless you are patient enough to correlate your needs to the many many features available through Vibe...because it all boils down to patience.

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

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• Novell Vibe connects GroupWise mail with Vibe natively which means you can access Vibe from within the mail product.
• Once forms and workflows are set up, the access structure on who sees what or not is very effective.
• You can use Novell Vibe as your main intranet with everything from wiki's, blogging and more fully automated and still in synch with your internal organisational structure.
• After playing with it for a while i found that through jsp it is highly configurable.

• 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.

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• The most pressing improvement is in printing. In speaking with Novell techs Vibe was designed as a web tool, no paper necessary. However in the real world our folks love their paper printouts. Vibe utilizes views for various functions. A print view that's easily configured would be an awesome upgrade.
• Customized in JSP. Vibe is completely customized using JSP. I don't know it. I'm not a programmer. I can work things out, but programming isn't my forte.

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It meets our current business needs and provides the scalability we need for future growth. It can be installed on Windows or Linux (Our alpha install was on Linux. Our beta was on Windows. We went with Windows). There are additional features, and application integrations, that we haven't taken advantage as of yet due to the lack of current business needs.

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At this moment it still looks you need to do a lot to be able to use it and to be honest that time should be used for work not for configuring a communication tool for the business. Yes I understand that it takes time to learn something to use in the organisation , but with this tool I see the help desk having to answer a lot of questions on how to use it or once someone has done something how to undo it.

The implementation was good, it is the follow up that we need to do ourselves that takes time and effort.

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.

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The main alternatives were Sharepoint or creating a custom Drupal install. Sharepoint was too expensive and didn't fit into our Novell environment. The Drupal solution we found was beyond our technical ability.

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

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• Novell Vibe has increased employee efficiency by providing a central file repository for our team.
• Novell Vibe has increased our customer service capabilities by allowing our team to track customer projects and support issues more effectively.