Is Tencent’s AI Really Lagging? Yao Shunyu’s Long‑Term, Multi‑Modal Perspective

In a Tencent Cloud AI conference interview, Yao Shunyu argues that AI is a long‑term, increasingly diverse field, explains the "second half" concept, stresses the importance of context, culture, and trust, and outlines a three‑layer AI strategy covering foundation, product, and frontier research.

AGIAI StrategyContext

0 likes · 9 min read

Is Tencent’s AI Really Lagging? Yao Shunyu’s Long‑Term, Multi‑Modal Perspective

DataFunSummit

Jan 25, 2023 · Artificial Intelligence

Expert Insights on Recommendation System Architecture, Data, Features, Recall, Ranking and Evaluation

This interview compiles expert opinions on the end‑to‑end recommendation system pipeline—including architecture, data collection, user profiling, content structuring, feature engineering, recall strategies, ranking algorithms, multi‑objective optimization, multi‑modal fusion, re‑ranking, cold‑start solutions, evaluation metrics and real‑world applications—highlighting the technical challenges and practical solutions.

Evaluation MetricsRankingcold-start

0 likes · 15 min read

Expert Insights on Recommendation System Architecture, Data, Features, Recall, Ranking and Evaluation

multi-modality

Is Tencent’s AI Really Lagging? Yao Shunyu’s Long‑Term, Multi‑Modal Perspective

Expert Insights on Recommendation System Architecture, Data, Features, Recall, Ranking and Evaluation