The story behind

Emotional Chat provides a dynamic environment for academic experimentation with Large Language Models (LLMs). It supports structured research into how language models process, generate, and adapt to different types of conversational input.

The platform enables the exploration of biased interactions, context-sensitive prompts, and the impact of knowledge retrieval systems such as Retrieval-Augmented Generation (RAG) in real-time dialogue analysis.

Designed for students, educators, and researchers, Emotional Chat serves as a foundation for ethical inquiry, critical thinking, and methodological rigor in the study of generative AI and human-machine communication.