How Vivo’s Blue Heart XiaoV Leverages LLMs to Transform Conversational Recommendations

In an interview with Vivo AI engineer Liang Tianan, the article explores the challenges of post‑Q&A recommendation, the integration of large language models into recall, ranking and evaluation pipelines, and the engineering trade‑offs required to deliver high‑quality, diverse suggestions on mobile devices.

LLMModel CompressionMultimodal

0 likes · 15 min read

How Vivo’s Blue Heart XiaoV Leverages LLMs to Transform Conversational Recommendations

DataFunSummit

Jun 22, 2025 · Artificial Intelligence

How Vivo’s BlueHeart AI Assistant Optimizes Post‑Conversation Recommendations with LLMs

In a detailed interview, Vivo AI engineer Liang Tianan explains how the BlueHeart Small V assistant leverages large language models, multi‑stage recall, ranking, and reward‑model fine‑tuning (SFT/DPO) to generate high‑quality, diverse post‑dialogue recommendation items while balancing latency, cost, and evaluation challenges.

DPOLLMSFT

0 likes · 15 min read

How Vivo’s BlueHeart AI Assistant Optimizes Post‑Conversation Recommendations with LLMs