Argilla helps in curation and annotation of the datasets, for training large language models on different tasks. It provides efficient user interfaces with multiple types of questions that can be posted to the annotators (a team if required can be made to work on the datasets). The video dives into the basics of Argilla, Workspace, Datasets, and Records. It goes on to show a brief Demo
Chapter Navigation:
0:00 Intro
0:20 Why Argilla
1:10 How Argilla Does It
3:15 Argilla Architecture
4:15 Workspace & Datasets
5:35 Argilla Demo in HF Spaces
6:50 Feedback Dataset Demo
7:45 Rating Model Output in Argilla
9:20 Text2Text Summarisation Dataset
10:45 Argilla Annotation UI Features
11:30 Filtering & Sorting Datapoints
14:00 Loading HF Datasets & Annotate
15:45 Using Argilla to get Dataset Annotated
16:30 Outro
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