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DaTaobao Tech
DaTaobao Tech
Jun 4, 2025 · Artificial Intelligence

Understanding Large Language Model Architecture, Parameters, Memory, Storage, and Fine‑Tuning Techniques

This article provides a comprehensive overview of large language models (LLMs), covering their transformer architecture, parameter counts, GPU memory and storage requirements, and detailed fine‑tuning methods such as prompt engineering, data construction, LoRA, PEFT, RLHF, and DPO, along with practical deployment and inference acceleration strategies.

DPOLLMLoRA
0 likes · 17 min read
Understanding Large Language Model Architecture, Parameters, Memory, Storage, and Fine‑Tuning Techniques
DaTaobao Tech
DaTaobao Tech
May 26, 2025 · Mobile Development

Optimizing Taobao Live Streaming Components: Scheduling, Reuse, and Governance

This article details three major optimization directions—component scheduling, component reuse, and component governance—applied to Taobao live streaming, explaining the technical redesign, task scheduler implementation, RecyclerView view‑holder reuse, performance gains, and future improvement plans.

AndroidComponent OptimizationRecyclerView
0 likes · 11 min read
Optimizing Taobao Live Streaming Components: Scheduling, Reuse, and Governance
DaTaobao Tech
DaTaobao Tech
May 21, 2025 · Artificial Intelligence

Mastering CursorRules: Fine‑Tune Your AI Coding Assistant for Smarter, Consistent Code

This guide explains how to use CursorRules to precisely control the behavior of the Cursor AI programming assistant, covering the rule file structure, global versus project‑specific configurations, rule types, practical examples, best‑practice tips, integration with external documentation, and community resources for continuous improvement.

AI programmingCursorRulescode generation
0 likes · 19 min read
Mastering CursorRules: Fine‑Tune Your AI Coding Assistant for Smarter, Consistent Code
DaTaobao Tech
DaTaobao Tech
May 16, 2025 · Artificial Intelligence

JianYi: AI‑Powered Image Segmentation and Matting System for Taobao Home‑Decoration

The article introduces JianYi, a self‑developed image segmentation and matting system for Taobao's home‑decoration business that supports product, human, and panoramic segmentation with multi‑modal interaction, achieving high‑precision real‑time performance and powering AI tools such as "Jiazuo" and "Fang Wo Jia".

E-commerceartificial intelligencecomputer vision
0 likes · 11 min read
JianYi: AI‑Powered Image Segmentation and Matting System for Taobao Home‑Decoration
DaTaobao Tech
DaTaobao Tech
May 14, 2025 · Backend Development

How a 2‑Year Journey Unified Java Backend Code Structure for Better Readability and Maintenance

This article shares a two‑and‑a‑half year effort to standardize code style and architecture across a large Java backend, detailing the origins, evolving patterns, a unified layered model, concrete implementation examples, measurable benefits, and future directions for continuous improvement.

Code styleDomain-Driven DesignService Layer
0 likes · 16 min read
How a 2‑Year Journey Unified Java Backend Code Structure for Better Readability and Maintenance
DaTaobao Tech
DaTaobao Tech
May 7, 2025 · Frontend Development

Technical Summary of Front‑end AI Practices: AI Quadrant Model, Hongyan AI Coder, and Nextdy Aone Copilot

The article outlines a front‑end AI framework using an AI Four‑Quadrant model and presents two toolchains—Hongyan AI Coder, which automates design‑to‑code and raises productivity by over 30 % with up to 90 % UI generation, and Nextdy Aone Copilot, a VS Code extension that enables LLM‑guided code refactoring and migration via CI—supported by case studies and a roadmap toward a closed‑loop design‑to‑deployment workflow.

AI code generationBest PracticesFront-end AI
0 likes · 13 min read
Technical Summary of Front‑end AI Practices: AI Quadrant Model, Hongyan AI Coder, and Nextdy Aone Copilot
DaTaobao Tech
DaTaobao Tech
Apr 30, 2025 · Artificial Intelligence

Model Context Protocol (MCP): A USB‑like Standard for Connecting Large Language Models to External Resources

The Model Context Protocol (MCP) is an open, USB‑like standard that lets large language models securely connect to external data sources, tools, and services through a client‑server architecture, enabling developers to integrate diverse resources with standardized SDKs, fostering rapid, scalable AI‑enhanced applications across many domains.

AI standardsLLM IntegrationMCP
0 likes · 18 min read
Model Context Protocol (MCP): A USB‑like Standard for Connecting Large Language Models to External Resources
DaTaobao Tech
DaTaobao Tech
Apr 28, 2025 · Frontend Development

Front‑End Architecture and Performance Optimization for a Large‑Scale Chinese New Year Interactive Activity

The article details a large‑scale Chinese New Year interactive activity’s front‑end architecture, describing a layered system for business logic, data abstraction, and animation engines, unified data handling, dynamic animation rendering with downgrade paths, high‑concurrency QPS reduction, resilience measures, and extensive performance and workflow optimizations.

AnimationResiliencearchitecture
0 likes · 15 min read
Front‑End Architecture and Performance Optimization for a Large‑Scale Chinese New Year Interactive Activity
DaTaobao Tech
DaTaobao Tech
Apr 23, 2025 · Product Management

Reading Notes on Taobao's Ten-Year Product and Technology Evolution

The notes synthesize two books on Taobao’s decade‑long evolution, detailing product category growth, key concepts like SPU/SKU, business challenges and pricing models, a shift from LAMP to Java‑based architecture, and pioneering middleware such as TFS, Tair, HSF, TDDL, culminating in a massive open platform with hundreds of APIs.

E-commerceProduct ManagementSystem architecture
0 likes · 20 min read
Reading Notes on Taobao's Ten-Year Product and Technology Evolution
DaTaobao Tech
DaTaobao Tech
Apr 21, 2025 · Artificial Intelligence

How MNN LLM Delivers Fast, Stable On‑Device LLM Inference for Android, iOS, and Desktop

Facing DeepSeek R1 server instability, the open‑source MNN LLM framework offers local, mobile‑friendly deployment with model quantization and hardware‑specific optimizations, dramatically improving inference speed, stability, and download reliability across Android, iOS, and desktop platforms while supporting multimodal inputs.

AndroidLLMMNN
0 likes · 11 min read
How MNN LLM Delivers Fast, Stable On‑Device LLM Inference for Android, iOS, and Desktop