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vivo Internet Technology

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vivo Internet Technology
vivo Internet Technology
Jun 3, 2026 · Artificial Intelligence

LiveMoments: Reference‑Guided Diffusion Boosts Live Photo Cover Frame Quality (ICLR 2026)

LiveMoments, the first method dedicated to restoring the quality of reselected cover frames in Live Photos, leverages the original high‑resolution cover as a reference and a motion‑alignment module within a diffusion model to correct motion misalignment and achieve high‑definition results, as demonstrated on two real datasets and a synthetic benchmark.

ICLR 2026Live Photoimage restoration
0 likes · 9 min read
LiveMoments: Reference‑Guided Diffusion Boosts Live Photo Cover Frame Quality (ICLR 2026)
vivo Internet Technology
vivo Internet Technology
Jun 3, 2026 · Frontend Development

How to Build a Stable @Document Mention Input with ProseMirror

This article walks through implementing an @document mention feature for a knowledge‑base Q&A input box, comparing a naïve contenteditable approach with a ProseMirror‑based solution, detailing schema design, plugin and suggestion handling, and the stability challenges of cursor, IME, and undo/redo.

FrontendPluginProseMirror
0 likes · 12 min read
How to Build a Stable @Document Mention Input with ProseMirror
vivo Internet Technology
vivo Internet Technology
May 27, 2026 · Artificial Intelligence

Deploying an AI‑Powered Shopping Guide on the Vivo Official Site

This article details the end‑to‑end implementation of an AI shopping guide on the Vivo official website, covering problem definition, multi‑layer architecture, technology selection, data synthesis, FastText intent‑recognition model training, prompt engineering, RAG‑augmented retrieval, structured output, safety testing, and the resulting business impact.

AIChatbotFastText
0 likes · 27 min read
Deploying an AI‑Powered Shopping Guide on the Vivo Official Site
vivo Internet Technology
vivo Internet Technology
May 20, 2026 · Frontend Development

Building a Composable AI Agent Frontend Library with VAPD AgentKit

The article presents VAPD AgentKit, a composable front‑end library that unifies AI agent capabilities for note‑taking, knowledge‑base, and project‑management scenarios by defining a standard message model, a protocol‑agnostic runtime adapter, and a front‑end orchestration layer, and it details the architecture, event flow, tool integration, UI interactions, quick integration steps, business alignment, and future enhancements.

Composable AI AgentsFrontend DevelopmentMessage Model
0 likes · 12 min read
Building a Composable AI Agent Frontend Library with VAPD AgentKit
vivo Internet Technology
vivo Internet Technology
May 13, 2026 · Big Data

How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations

This article details Vivo's end‑to‑end upgrade of a YARN 2.6.0 cluster to a modern version for a million‑node, hundred‑thousand‑tasks‑per‑day platform, covering architectural evolution, scheduler migration, compatibility fixes, performance tuning, and service‑continuity strategies.

Big DataCapacity SchedulerHadoop
0 likes · 28 min read
How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations
vivo Internet Technology
vivo Internet Technology
May 6, 2026 · Frontend Development

Implementing AVIF at Vivo: Next‑Gen Image Format in Practice

The article details how Vivo’s front‑end team tackled performance bottlenecks by researching AVIF, designing a graceful degradation strategy with CDN edge caching and asynchronous server transcoding, implementing smart format detection, and validating a 20%+ size reduction over WebP that yielded 15‑25% LCP improvement, 30%+ first‑screen load gains and over 30% bandwidth savings.

AVIFCDNFrontend
0 likes · 12 min read
Implementing AVIF at Vivo: Next‑Gen Image Format in Practice
vivo Internet Technology
vivo Internet Technology
Apr 22, 2026 · Cloud Native

Deep Dive into Vivo Activity System Globalization: Boost Reuse, Cut Maintenance

The article details Vivo's activity system globalization, covering multilingual support, multi‑timezone handling, multi‑tenant architecture, multi‑datacenter deployment, and a unified global code line, showing how these measures increase component reuse, lower maintenance costs, and improve global service stability.

Cloud Nativearchitectureglobalization
0 likes · 17 min read
Deep Dive into Vivo Activity System Globalization: Boost Reuse, Cut Maintenance
vivo Internet Technology
vivo Internet Technology
Apr 15, 2026 · Industry Insights

Why Coding Agents Lead and How to Bring Business Agents into Production

This article analyzes why Coding Agents have advanced fastest, why other business domains lack breakthrough agents, identifies the missing capabilities for OpenClaw to reach production, and presents Amazon's sandbox approach as a practical solution for stable, verifiable, and roll‑backable business agents.

AI AgentsAmazon sandboxBusiness Automation
0 likes · 12 min read
Why Coding Agents Lead and How to Bring Business Agents into Production
vivo Internet Technology
vivo Internet Technology
Apr 8, 2026 · Artificial Intelligence

Efficient AI Agent Design: Context, Tool Loading & Loop Strategies

This article analyses the architectural choices behind modern AI agents such as OpenClaw and Claude Code, covering context management (append‑only, compression, task isolation), tool loading (tools field vs. prompt embedding, console vs. remote MCP), tool discovery methods (full injection, incremental loading, sub‑agents, vector search, Skill layer), and the trade‑offs between dialogue‑driven and task‑driven main loops, concluding with practical recommendations for building cost‑effective agents.

AI AgentsTool Discoverytask isolation
0 likes · 20 min read
Efficient AI Agent Design: Context, Tool Loading & Loop Strategies
vivo Internet Technology
vivo Internet Technology
Apr 1, 2026 · Artificial Intelligence

Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation

This article introduces C²FG, a training‑free, plug‑and‑play time‑adaptive exponential control function that replaces the fixed classifier‑free guidance scale, theoretically justifies its superiority with score discrepancy bounds, and demonstrates significant FID and IS improvements across multiple diffusion architectures on ImageNet.

CVPR 2026Classifier-Free GuidancePlug-and-Play
0 likes · 7 min read
Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation