This article explains how to craft system prompts that give an AI agent a distinct personality and emotional behavior, shows how to implement an emotion‑detection chain, compares ChatPromptTemplate.from_messages with from_template, and integrates the agent into a FastAPI service with full code examples.
The talk outlines how Alibaba’s Entertainment Brain leverages AI, big-data analytics, and psychological modeling to map content attributes and user emotions across the entire production-to-distribution lifecycle, enabling data-driven talent selection, script evaluation, real-time feedback, and predictive traffic forecasting for hit-making.
This article presents an in‑depth overview of Alibaba's XiaoMi chatbot, covering its evolution from traditional customer service to an intelligent service platform, the design of emotion recognition and response models, customer emotion soothing pipelines, service quality detection, generative emotional dialogue, and future work on session satisfaction estimation.
