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This guide shows how to quickly build, configure, and deploy modular AI agents using the OxyGent framework—covering environment setup, minimal code initialization, tool integration, multi‑agent orchestration, and advanced deployment techniques—all illustrated with concise examples and screenshots.
JD’s recent technical salon reveals the rapid evolution of large‑model tools, detailing industry trends, JD’s JoyAI ecosystem—including JoyAgent, OxyGent and JoyCode—real‑world applications across office, code review, logistics and local services, and future policy and multi‑agent visions.
This article examines the evolution of Text-to-SQL, introduces the J‑Schema representation and chain-of-thought prompting, applies iterative DPO training and self-consistency voting, and demonstrates how these techniques raise execution accuracy on the BIRD benchmark from 56.6% to 69.2%.
The article details the open‑source release of Taro on HarmonyOS, explaining its architectural evolution, performance optimizations, multi‑platform development workflow, and real‑world results from JD’s HarmonyOS app, while outlining future roadmap and ecosystem expansion.
This article describes a QCon talk that combines causal inference with large language models to build a retrieval‑augmented generation pricing system for e‑commerce, detailing the three‑step algorithm, LLM‑driven modeling challenges, process‑reward tree search, reinforcement‑learning fine‑tuning, and experimental gains in accuracy and speed.
JD Retail’s “JingDianDian” AI virtual try‑on platform leverages a 12‑billion‑parameter Flux‑Fill diffusion model and multimodal pose estimation to automatically create realistic model images and videos, integrates with the JingMai A/B testing system, and delivers up to an 80% boost in conversion while cutting production costs and time dramatically.
An R&D newcomer struggles with undocumented code and hidden business rules, then builds a large-model-driven knowledge system that links code commits, requirement docs, and operational logs, enabling automated retrieval, intelligent prompts, and improved onboarding, illustrated through multi-stage implementation and practical API examples.
JD’s algorithm engineer recounts how his team transformed e‑commerce search by developing the PODM‑MI re‑ranking framework, uncovering a novel “hourglass” bottleneck in generative retrieval, and implementing lightweight solutions that boosted diversity, relevance, and order volume, culminating in a SIGIR publication.
This article details a high‑performance, cross‑platform HarmonyOS mini‑program development practice that analyzes architecture, identifies JS API bottlenecks, demonstrates a step‑by‑step API call breakdown, and shows how the Cangjie language reduces getSystemInfo latency by over 50% while improving overall startup speed.
This article examines the severe row‑lock competition in MySQL during hot‑SKU inventory positioning, analyzes its causes and risks, and presents a comprehensive set of mitigation strategies—including DB account isolation, flow‑control, request merging, and message‑queue optimizations—validated by extensive performance testing and successful rollout across multiple clusters.
