Adala

Adala is a purpose-built autonomous data labeling agent framework designed for data processing. It independently acquires skills through iterative learning and environmental interaction, making it suitable for diverse data labeling tasks. Users can define environments by providing benchmark datasets and integrate its functionality directly via command line, RESTful API, or Python notebooks. Adala's self-learning mechanism leverages large language models from providers such as OpenAI and VertexAI. The framework aims to provide AI engineers, machine learning researchers, data scientists, as well as educators and students with a flexible and scalable solution for data processing.