Official account of DaTaobao Technology
Since GPT‑4’s 2023 debut, large language models have shifted from sheer scale to efficiency‑driven designs, advanced reasoning with chain‑of‑thought, and agentic tool use, as illustrated by MoE, MLA, and new attention mechanisms, reshaping benchmarks, commercial strategies, and the future of AI.
This article explores practical AI engineering strategies, detailing the three AI application modes—Embedding, Copilot, and Agents—along with prompt engineering, model selection, function calling, RAG, workflow design, and multi‑agent architectures to boost business efficiency and user experience.
TaoAvatar, Alibaba’s new 3D digital‑human platform, enables lifelike, real‑time avatars on mobile and XR devices by combining 3D Gaussian splatting, on‑device AI dialogue, and a lightweight MNN inference engine, and the full source code is now open‑sourced as MNN‑TaoAvatar.
This article details the end‑to‑end design of Taobao Live's AI digital human system, covering six core components such as LLM‑driven content creation, interactive dialogue, TTS voice synthesis, visual synchronization, audio‑video engineering, and a scalable backend, while also discussing product evolution, automation challenges, and future roadmap.
This article presents a comprehensive overview of the AI‑driven digital‑human live‑streaming solution used by Taobao, detailing six core components—including LLM‑based content generation and interaction, TTS, visual driving, audio‑video engineering, and backend services—while sharing architectural diagrams, cost‑reduction strategies, productization insights, and future directions.
This article outlines the end‑to‑end architecture and practical solutions behind creating intelligent digital humans for live commerce, covering LLM‑driven content generation, real‑time lip‑sync, image‑driven avatar creation, automated material review, lightweight model training, and a roadmap toward fully automated, high‑performance virtual presenters.
This article details the end‑to‑end workflow for creating intelligent digital humans for live streaming, covering large‑language‑model‑driven content generation, multi‑stage TTS architecture, extensive audio‑signal processing, speaker clustering, front‑end text normalization, back‑end acoustic modeling, and quantitative evaluation of model improvements.
This article details the end‑to‑end AI pipeline for creating intelligent digital humans in live streaming, covering LLM‑driven script generation, multimodal data integration, error‑prone number handling, DPO fine‑tuning, experimental results, and future directions for more human‑like presentations.
This article investigates a high‑concurrency Java service that suffers from long GC pauses during large index swaps, identifies YGC Object Copy as the root cause, and presents a series of JVM tuning techniques—including MaxTenuringThreshold, InitialTenuringThreshold, AlwaysTenure, G1HeapRegionSize, ZGC, and an Eden‑preheat strategy—to achieve near‑zero service disruption and 99.995% success rate.
This article examines how the rise of large language models reshapes core business assets, defines agents and tools, explores multi‑agent collaboration patterns, task allocation and conflict resolution mechanisms, and evaluates the MCP protocol and engineering requirements for building scalable, flexible agent platforms.
