Interactively Critiquing Large Language Models by Converting Feedback into Principles

This story was originally published on HackerNoon at: https://hackernoon.com/interactively-critiquing-large-language-models-by-converting-feedback-into-principles.

Explore the groundbreaking ConstitutionMaker, an interactive tool shaping the future of chatbot customization.

Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #human-centric-ai, #llm-optimization, #constitutionmaker, #llm-research, #ai-research, #ai-model-refinement, #user-experience-in-ai-design, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.




This story was written by: @feedbackloop. Learn more about this writer by checking @feedbackloop's about page,
and for more stories, please visit hackernoon.com.






Discover ConstitutionMaker, a revolutionary tool transforming user feedback into principles for chatbot customization. Explore its unique features—kudos, critique, and rewrite—and their impact on refining large language model outputs. A user study highlights ConstitutionMaker's advantages, offering users a more guided and efficient process. Uncover the classification of desired principles, paving the way for future tools in human-centric AI and interactive critique for LLMs.