Adala is an open-source framework designed to facilitate the creation of autonomous data labeling agents. These agents acquire skills through iterative learning, influenced by their operating environment, observations, and reflections. By providing ground truth datasets, users define the environment in which agents learn and apply their skills. Adala emphasizes modularity and extensibility, allowing AI engineers, machine learning researchers, and data scientists to build production-level agent systems that abstract low-level machine learning tasks to Adala and large language models (LLMs).

adala

An open-source framework for developing autonomous data labeling agents that learn and adapt through iterative processes.

AI Agents Tagged with: data labeling

Adala