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JD Tech
JD Tech
Jan 13, 2026 · Artificial Intelligence

Mastering Large Language Models: Transformers, Scaling Laws, and MoE Explained

This extensive guide walks readers through the fundamentals of large language models, covering transformer architecture, pre‑training and fine‑tuning techniques, scaling laws, emergent abilities, mixture‑of‑experts designs, and practical comparisons, providing clear explanations, code snippets, and visual illustrations for deep learning practitioners.

Mixture of Expertsemergent abilitiesfine-tuning
0 likes · 47 min read
Mastering Large Language Models: Transformers, Scaling Laws, and MoE Explained
JD Tech
JD Tech
Dec 30, 2025 · Artificial Intelligence

How a Semi‑Supervised Unified Framework Boosts E‑commerce Query Intent Classification

The paper introduces a semi‑supervised, extensible unified framework (SSUF) that integrates knowledge, label, and structural enhancements to overcome data sparsity, label bias, and fragmented sub‑tasks in e‑commerce query intent prediction, achieving superior offline and online performance.

BERTGCNSemi-supervised Learning
0 likes · 14 min read
How a Semi‑Supervised Unified Framework Boosts E‑commerce Query Intent Classification
JD Tech
JD Tech
Dec 24, 2025 · Databases

How to Eliminate 30‑Minute Master‑Slave Lag in High‑Volume Inventory Systems

This article analyzes why a warehouse management system’s master‑slave database replication lagged up to 30 minutes during nightly inventory snapshot generation, evaluates several mitigation strategies, and details the chosen big‑data‑driven solution that moved snapshots to Elasticsearch, reducing lag and disk usage.

ElasticsearchHivedatabase replication
0 likes · 8 min read
How to Eliminate 30‑Minute Master‑Slave Lag in High‑Volume Inventory Systems
JD Tech
JD Tech
Dec 22, 2025 · Artificial Intelligence

Build Flexible Multi‑Agent Systems Like LEGO with OxyGent – New Features Unveiled

The OxyGent 1.0.8 release introduces multimodal messaging, fine‑grained control, MCP reconnection, and front‑end streaming, while detailing its stateless AOP architecture, execution lifecycle, four data scopes, real‑world use cases, community feedback, and a step‑by‑step tutorial for rapid adoption.

AIFrameworkLLM
0 likes · 11 min read
Build Flexible Multi‑Agent Systems Like LEGO with OxyGent – New Features Unveiled
JD Tech
JD Tech
Dec 18, 2025 · Backend Development

Can AI Prompts Supercharge Your Backend, Frontend, and Big Data Projects?

This article showcases a series of real‑world development cases—from implementing a guided inventory task in a Java backend and generating Vue rule code, to writing unit tests, analyzing report data, converting SQL to Hive, debugging startup errors, publishing Maven APIs, optimizing slow SQL queries, and resolving MySQL deadlocks—demonstrating how AI‑driven prompts can accelerate coding, testing, and troubleshooting across multiple domains.

DebuggingFrontendMaven
0 likes · 31 min read
Can AI Prompts Supercharge Your Backend, Frontend, and Big Data Projects?
JD Tech
JD Tech
Dec 16, 2025 · Databases

How DongSQL’s New Kernel Boosts E‑commerce DB Performance by Up to 215%

The article provides an in‑depth technical analysis of DongSQL V1.1.0, detailing its syntax extensions, concurrency control mechanisms, query‑execution optimizations, thread‑pool redesign, and extensive benchmark results that demonstrate significant performance gains for e‑commerce workloads.

Concurrency ControlPerformance Benchmarke-commerce
0 likes · 13 min read
How DongSQL’s New Kernel Boosts E‑commerce DB Performance by Up to 215%
JD Tech
JD Tech
Nov 28, 2025 · Artificial Intelligence

How JD Ads Uses Large Language Models to Transform Advertising

This article details JD Advertising's shift from generic to domain‑specific large models, the design of AI‑driven ad agents, the end‑to‑end GRAM retrieval‑alignment system, CTR‑guided AIGC for creatives, ultra‑low‑latency inference techniques, and ARM‑based optimizations that together reshape modern ad marketing.

CTR optimizationIntelligent agentsadvertising AI
0 likes · 19 min read
How JD Ads Uses Large Language Models to Transform Advertising
JD Tech
JD Tech
Nov 11, 2025 · Databases

How JIMDB’s Big‑Hot Key Strategy Boosts Cache Performance by 80%

JIMDB, a Redis‑based distributed cache, introduces the Big‑Hot Key concept and a multi‑layer proactive governance framework that dynamically identifies resource‑intensive keys, automatically mitigates them, and delivers up to an 80% performance gain while dramatically improving system stability.

Big-Hot KeyDistributed CacheJimdb
0 likes · 39 min read
How JIMDB’s Big‑Hot Key Strategy Boosts Cache Performance by 80%
JD Tech
JD Tech
Nov 6, 2025 · Artificial Intelligence

LLMs Revolutionize Recommendation Systems: From Generative Models to Production

This article surveys the evolution of generative recommendation systems powered by large language models, detailing their technical foundations, engineering challenges, recent breakthroughs, and future research directions, while highlighting why the paradigm shift is occurring now.

AI EngineeringGenerative RecommendationLLM
0 likes · 30 min read
LLMs Revolutionize Recommendation Systems: From Generative Models to Production