Bot Training From Data

via “bot-training-from-data”

via “bot training via conversation examples and feedback”

Unique: Implements a simple feedback loop where users label bot mistakes directly in the conversation UI, feeding labeled data back into the intent classifier without requiring manual data export or ML pipeline setup

vs others: More accessible than fine-tuning LLMs with custom data because it requires no coding or ML infrastructure, but produces less sophisticated improvements than techniques like few-shot prompting or retrieval-augmented generation

via “agent training data management”

via “bot-training-and-response-customization”