In this guest post, Jimmy Whitaker, Data Scientist in Residence at Human Signal, introduces Adala, an Autonomous Data Labeling Agent framework that harmonizes AI's computational power with human judgment. It challenges conventional AI paradigms with dynamic agents that not only learn and adapt but also heavily rely on human-labeled data as a foundational bedrock. While the technology is still in its nascent stages, it aims to redefine data processing, model training, and the development of AI applications. It’s open-source and you can contribute to it!
So the labeling is assigned to AI responses? How does this interact with prompt engineering?