Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Docs: Improve index #5232

Merged
merged 1 commit into from
Jul 16, 2024
Merged

Docs: Improve index #5232

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions argilla/docs/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,11 +26,11 @@ Argilla is a **collaboration platform for AI engineers and domain experts** that

[:octicons-arrow-right-24: Quickstart](getting_started/quickstart.md)

- __Educational guides__
- __How-to guides__

---

Get familiar with basic and complex workflows for Argilla. From managing `Users`, `Workspaces`. `Datasets` and `Records` to fine-tuning a model.
Get familiar with basic and complex workflows for Argilla. Learn how to managing `Users`, `Workspaces`, `Datasets`, and `Records` to set up your data annotation projects.

[:octicons-arrow-right-24: Learn more](how_to_guides/index.md)

Expand Down Expand Up @@ -70,4 +70,4 @@ AI teams from companies like [the Red Cross](https://510.global/), [Loris.ai](ht

- AI for good: [the Red Cross presentation](https://youtu.be/ZsCqrAhzkFU?feature=shared) showcases **how their experts and AI team collaborate** by classifying and redirecting requests from refugees of the Ukrainian crisis to streamline the support processes of the Red Cross.
- Customer support: during [the Loris meetup](https://youtu.be/jWrtgf2w4VU?feature=shared) they showed how their AI team uses unsupervised and few-shot contrastive learning to help them **quickly validate and gain labelled samples for a huge amount of multi-label classifiers**.
- Research studies: [the showcase from Prolific](https://youtu.be/ePDlhIxnuAs?feature=shared) announced their integration with our platform. They use it to actively **distribute data collection projects** among their annotating workforce. This allows them to quickly and **efficiently collect high-quality data** for their research studies.
- Research studies: [the showcase from Prolific](https://youtu.be/ePDlhIxnuAs?feature=shared) announced their integration with our platform. They use it to actively **distribute data collection projects** among their annotating workforce. This allows them to quickly and **efficiently collect high-quality data** for their research studies.
Loading