Author

DaTaobao Tech

Official account of DaTaobao Technology

560

Articles

Likes

2.2k

Views

Comments

Latest from DaTaobao Tech

100 recent articles max

DaTaobao Tech

Mar 26, 2025 · Artificial Intelligence

Overview of Retrieval-Augmented Generation (RAG) and Related AI Technologies

The article surveys Retrieval‑Augmented Generation (RAG) as a solution to large language model limits—such as outdated knowledge, hallucinations, and security risks—by integrating vector‑database retrieval with LLM generation, and discusses related tools, multi‑agent frameworks, prompt engineering, fine‑tuning methods, and emerging optimization trends.

AI applicationsLLMPrompt Engineering

0 likes · 29 min read

Overview of Retrieval-Augmented Generation (RAG) and Related AI Technologies

DaTaobao Tech

Mar 19, 2025 · Artificial Intelligence

Retrieval Augmented Generation (RAG): Principles, Challenges, and Implementation Techniques

Retrieval‑augmented generation (RAG) enhances large language models by integrating a preprocessing pipeline—cleaning, chunking, embedding, and vector storage—with a query‑driven retrieval and prompt‑injection workflow, leveraging vector databases, multi‑stage recall, advanced prompting, and comprehensive evaluation metrics to mitigate knowledge cut‑off, hallucinations, and security issues.

EvaluationLLMRAG

0 likes · 27 min read

Retrieval Augmented Generation (RAG): Principles, Challenges, and Implementation Techniques

DaTaobao Tech

Mar 17, 2025 · Artificial Intelligence

AI-Powered Content Generation and Template Automation for E‑commerce

Taobao’s AI‑driven content system now generates product guides, videos and multimodal assets across the shopping journey by automatically converting designer mock‑ups into HTML templates, extracting key information, filling slots with product data, and refining layouts via natural‑language feedback, dramatically cutting manual effort and enabling rapid, personalized e‑commerce experiences.

AIContent Generationtemplate automation

0 likes · 8 min read

AI-Powered Content Generation and Template Automation for E‑commerce

DaTaobao Tech

Mar 14, 2025 · Artificial Intelligence

AI-Driven Engineering Efficiency: Practices and Insights from a Live-Streaming Team

The article recounts a live‑streaming team’s six‑month experiment using large‑language‑model AI to boost backend, frontend, testing, data‑science and data‑engineering productivity, detailing goals, LLM strengths and limits, and practical tactics such as task splitting, input refinement, human‑AI guidance, retrieval‑augmented generation and fine‑tuning, while emphasizing disciplined task design, prompt iteration, and future vertical integrations.

AIPrompt EngineeringRAG

0 likes · 17 min read

AI-Driven Engineering Efficiency: Practices and Insights from a Live-Streaming Team

DaTaobao Tech

Mar 12, 2025 · Artificial Intelligence

Multimodal Automatic Layout Generation for E-commerce

The project develops a multimodal automatic layout generation system for e‑commerce by fine‑tuning the qwen‑vl‑7b vision‑language model with LoRA on poster and Taobao image‑layout data, employing diffusion‑based image generation and coordinate‑prediction methods to produce structured layouts that power poster, marketing image, and video‑cover creation with over 90% adoption, while exploring multi‑image, style‑aware, and iterative refinement extensions.

LLMLarge Modelsdiffusion

0 likes · 12 min read

Multimodal Automatic Layout Generation for E-commerce

DaTaobao Tech

Mar 7, 2025 · Artificial Intelligence

Taobao Content AI: Summary of AIGC Content Generation and Multimodal Model Techniques

Taobao’s AIGC pipeline combines a human‑feedback multimodal reward model, audio‑visual joint pre‑training, and Mixture‑of‑Experts distillation to clean data, align outputs with user preferences, and achieve state‑of‑the‑art multimodal LLM performance that drives content cold‑start and conversion gains in e‑commerce.

AIGCContent GenerationReward Model

0 likes · 10 min read

Taobao Content AI: Summary of AIGC Content Generation and Multimodal Model Techniques

DaTaobao Tech

Mar 5, 2025 · Artificial Intelligence

Multimodal Large‑Model Cover Generation AI Agent for Taobao Video and Live Streams

Taobao’s new multimodal AI Agent automatically creates high‑quality static and dynamic video covers by planning tasks, consulting a memory of quality criteria, executing frame selection with ReKV streaming and dual‑stage evaluation, generating marketing copy via fine‑tuned Qwen2.5‑7B, and refining layout, resulting in significantly higher click‑through rates, lower latency, and reduced manual effort.

AIVideo Processingcover generation

0 likes · 17 min read

Multimodal Large‑Model Cover Generation AI Agent for Taobao Video and Live Streams

DaTaobao Tech

Mar 3, 2025 · Artificial Intelligence

How Taobao’s “Faxiang” AI Model Revolutionizes E‑Commerce Video Generation

Taobao’s AIGC video generation platform, built on a large‑scale “Faxiang” model that evolved from UNet to DiT, leverages over 2 billion curated e‑commerce videos, expert alignment, Lora fine‑tuning, and multi‑control capabilities to deliver diverse, high‑quality product videos that dramatically boost conversion metrics across the marketplace.

AI video generationAIGCLarge Models

0 likes · 11 min read

How Taobao’s “Faxiang” AI Model Revolutionizes E‑Commerce Video Generation

DaTaobao Tech

Feb 28, 2025 · Artificial Intelligence

AIGC Content Analysis Agent for E‑commerce

We introduce an AIGC‑driven content analysis agent for Taobao that automatically builds a fine‑grained feature taxonomy, multimodally labels images, videos and text, mines causal quality features, and deploys auto‑prompt, memory and LoRA‑based training pipelines, achieving over 90% labeling accuracy, 80% labor savings and double‑digit CTR gains while cutting video generation cost to 25% of GPT‑4o.

AIGCcontent analysisprompt optimization

0 likes · 18 min read

AIGC Content Analysis Agent for E‑commerce

DaTaobao Tech

Feb 26, 2025 · Artificial Intelligence

How Taobao’s AI Turns Static Clothing Images into Seamless Virtual Try‑On Videos

This article analyzes Taobao’s AIGC video virtual try‑on pipeline, detailing the challenges of frame‑level realism and continuity, the upgraded DiT‑based model, 3D‑VAE compression, large‑scale data collection, template‑matching mechanisms, and the resulting product capabilities for automated marketing and personalized shopper experiences.

AI video generationContent Generatione-commerce

0 likes · 13 min read

How Taobao’s AI Turns Static Clothing Images into Seamless Virtual Try‑On Videos