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Adala

Open Source Open Source

Autonomous Data (Labeling) Agent framework

General Purpose

Industry

Adala is an autonomous data labeling agent framework that enhances the efficiency of data preparation by automating labeling tasks. This innovative framework allows developers to contribute to its development on GitHub, promoting collaboration and continuous improvement. Through its advanced features, Adala streamlines workflows and accelerates the development lifecycle.

Adala Key Features

Autonomous learning through iterative skill development
Controllable output with configurable constraints
Easily customizable for specific challenges
Flexible and extensible runtime environment
Reliable agents built on ground truth data
Specialized in diverse data labeling tasks

Adala Use Cases

AI engineers designing AI agent systems
Data scientists preprocessing and postprocessing data
Educators and students using Adala for teaching and projects
Machine learning researchers experimenting with problem decomposition

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