Adala
Data AnalysisTechnologyOpen Source
Autonomous DAta (Labeling) Agent framework
About
Adala is an open-source framework designed to automate data labeling and other data processing tasks using autonomous AI agents. These agents leverage large language models (LLMs) to perform tasks such as data classification, summarization, and generation. Adala's agents learn and improve over time by interacting with ground truth datasets and incorporating human feedback, ensuring high reliability and efficiency in data processing workflows.
Features
Autonomous learning from human feedback
Integration with large language models (LLMs)
Dynamic memory for storing and retrieving knowledge
Modular and extensible architecture
Open-source framework
Use Cases
Automated data labeling for machine learning
Data classification and organization
Summarization of large datasets
Data generation for training models
Enhancing data quality and consistency
Details
Company
HumanSignal
Website
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