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JD Retail Technology

Official platform of JD Retail Technology, delivering insightful R&D news and a deep look into the lives and work of technologists.

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JD Retail Technology
JD Retail Technology
Dec 4, 2025 · Artificial Intelligence

Twin Networks Reveal How to Optimize Data Mixtures for Large Language Models

This article presents TANDEM, a bi‑level data‑mixture optimization framework that uses twin networks to automatically adjust domain‑specific training data ratios, offering theoretical guarantees, broader applicability, and significant performance gains across pre‑training, fine‑tuning, and e‑commerce product‑understanding tasks.

NeurIPSbi-level optimizationdata mixture optimization
0 likes · 6 min read
Twin Networks Reveal How to Optimize Data Mixtures for Large Language Models
JD Retail Technology
JD Retail Technology
Nov 20, 2025 · Fundamentals

How Heterogeneous Treatment Effect Analysis Uncovers Sub‑Group Performance

This article explains the concept of heterogeneous treatment effects, outlines how to select dimensions for HTE analysis, describes a Python‑based MVP tool for automated CATE exploration, and showcases a real‑world experiment case where sub‑group insights turned a non‑significant overall result into actionable findings.

CATEcausal inferencedata-science
0 likes · 7 min read
How Heterogeneous Treatment Effect Analysis Uncovers Sub‑Group Performance
JD Retail Technology
JD Retail Technology
Nov 11, 2025 · Backend Development

JIMDB’s Big-Hot Key Solution: Optimizing Distributed Cache Performance

JIMDB, a high‑performance Redis‑based distributed cache, introduces the “Big‑Hot Key” concept to dynamically identify keys that strain CPU or bandwidth, and implements a multi‑layer active governance framework—including real‑time detection, server‑side caching, circuit‑breaker, and client‑side consistency—to dramatically reduce resource consumption and boost throughput.

JimdbPerformance OptimizationRedis
0 likes · 41 min read
JIMDB’s Big-Hot Key Solution: Optimizing Distributed Cache Performance
JD Retail Technology
JD Retail Technology
Nov 7, 2025 · Artificial Intelligence

How an AI‑Powered Experiment Analysis Agent Transforms Data Insights

This article outlines the motivation, design, architecture, and engineering of an AI-driven experiment analysis agent, detailing its modular workflow, large‑model selection, prompt engineering, front‑end form integration, and future enhancements to improve reliability, transparency, and user interaction.

AIarchitectureexperiment analysis
0 likes · 14 min read
How an AI‑Powered Experiment Analysis Agent Transforms Data Insights
JD Retail Technology
JD Retail Technology
Nov 4, 2025 · Artificial Intelligence

How AIGC Is Transforming E‑commerce with Personalized Visual Content

This article explains how large‑model AIGC technology reshapes e‑commerce by enabling mass‑produced, user‑profile‑driven visual assets, detailing the evolution from early online trade to the 2.0 era, the technical pipeline of multimodal models, and the practical impact on merchants.

AIGCe-commercelarge language models
0 likes · 17 min read
How AIGC Is Transforming E‑commerce with Personalized Visual Content