๐ŸŒŠ Simplify annotation with machine feedback workflows#

Besides direct manual annotation, we also support a few annotation workflows that can be used to smoothen the annotation for your records. These workflows are: active learning, weak supervision, semantic search and job scheduling.

๐Ÿง‘โ€๐Ÿซ Active Learning

A human-in-the-loop framework for iteratively building training sets and models.

๐Ÿ‘ฎ Weak Supervision

An approach to machine learning in which high-level rules and queries are used to label training data.

๐Ÿ”ฆ Semantic Search

Find similar and dissimilar records in your dataset by using semantic vectors.

โฒ๏ธ Job Scheduling and Callbacks

Schedule jobs to run at a specific time or periodically.

๐Ÿ“‡ Text Descriptives as Metadata

Add text descriptives to your metadata to simplify the data annotation and filtering process.