Adala
Visit WebsiteGeneral Purpose
Open Source
An open-source framework for creating autonomous data labeling agents, emphasizing iterative learning and adaptability.
About
Adala is an open-source framework designed to facilitate the development of autonomous agents specializing in data processing, particularly data labeling tasks. These agents are capable of independently acquiring multiple skills through iterative learning, influenced by their operating environment, observations, and reflections. Users can define environments by providing ground truth datasets, enabling agents to learn and apply skills effectively.
Features
- Supports autonomous agents for data labeling tasks.
- Enables iterative learning influenced by environment and observations.
- Allows user-defined environments with ground truth datasets.
- Open-source framework encouraging community collaboration.
Tags
Recommender Systems
Generative Agents
Simulation