Hugging Face vs. Jira Work Management

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

Jira Work Management suits projects involving multiple teams, such as product development. In our case, the design, development, and QA teams use Jira to track tasks from ideation to deployment. Custom workflows and real-time updates ensure that all teams are on the same page, and the ability to link related tasks helps manage dependencies effectively.

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

• Provide a roadmap of all epics
• Provide a backlog in which you can see all the possible work to be done to create your sprint plan
• Have all our projects within reach
• Have a dashboard with editable columns to manage your work
• Be able to filter by person
• Be able to see past sprints

• 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

• More clarification on where to find useful tools and resources for new users.
• Breakdown of Projects, Tasks, Sub-tasks, bugs is hard to follow and cannot be changed once created.
• The ability to customize the dashboard/home page to fit the needs of individuals could use some work.

Incentivized

Jira is a highly robust work management tool that helps manage complex workflows, but it loses points due to a steep learning curve; for freshers, it takes ample time to learn the Jira app.

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

The evolution of Jira Service Desk to Jira work management is accompanied by lot of new features like the List View which allows inline editing, easy column management, the Calendar View bases on extensible modal and state categories, the Timeline View supports tasks and subtasks, the Boards which allow the categorization of status and allow the visibility of subtasks on the cards, Forms can be created very easily, Project templates can be used based on the business area.

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

• It has allow us the proper documentation of over 50 products.
• Time spent on activities has been reduced by a 25%.
• The reporting module has allowed us to identify over 10 problems in our workflow, allowing us to solve them and become more effective and efficient with it.

Incentivized