Principle 2 – leverage annotators and SMEs effectively
No matter where we are in the AI hype cycle when you read this, it is unlikely that AI and ML development has evolved past the point where human input and labeling are needed.
In recent years, we have experienced a large increase in the sophistication of AI technologies, especially in the field of generative AI. Despite this, it remains a fact that even the most powerful and revolutionary AI technologies, such as ChatGPT, rely on small armies of human labelers to refine and advance their capabilities.
These individuals review and annotate data samples, which are then fed back into the model to improve its understanding of natural language and context. Some of the key methodologies and techniques that are employed by human labelers include the following:
- Domain expertise: Labelers with subject matter expertise can provide valuable insights and annotations that help the model better comprehend specific topics...
