A
Adala
Autonomous DAta (Labeling) Agent framework
Data Analysis
Technology
Free
Open Source
Overview: Adala
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.
Key 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
AI Agent Details
Created by: HumanSignal
Category: Data Analysis
Industry: Technology
Pricing Model: Free
Access: Open Source
Added on: 7/19/2024
Tags:
AI Agent
data labeling
machine learning
autonomous agents
automation
data generation