A framework for implementing agents specialized in data labeling and generation. Do data classification, summarization, or data generation without any necessary human intervention.
Adala is a new open source framework that leverages autonomous agents to generate accurately-labeled datasets with minimal human interaction. Adala is an early-stage project that is ready for exploration and feedback, but not yet ready for production use.
Learn moreAgents develop the ability to do specific tasks, such as data classification. These skills can be combined, enabling agents to handle intricate tasks easily.
An LLM (like ChatGPT-4) where the agent's code executes.
A dynamic storage space for all your agent's acquired knowledge, to ensure agents remember and build upon their experiences.
The agent requests ground truth data and dynamic feedback to learn from its environment and define the prompt.
Want to learn more about Adala? Join us for a livestream, where we’ll hear from one of the initial submitters on the Adala project as they share how Adala applies Generative AI Agents to “act, observe, and adapt,” learning from human feedback while independently completing labeling tasks — pushing the boundaries of what we thought possible in problem-solving and automation.
Tuesday, November 7, 2023
11AM Pacific / 2PM Eastern