Sharing practical vivo Internet technology insights and salon events, plus the latest industry news and hot conferences.
This tutorial walks you through the entire process of creating a browser‑based AI version of the classic "draw‑and‑guess" game, covering model selection, dataset preparation, CNN training with TensorFlow.js, model integration into a Vue front‑end, performance optimizations, and deployment steps.
This article analyzes a production incident where Redis failed to retrieve keys at 2 AM, tracing the root cause to a short‑term memory write‑full condition caused by massive GET request bursts that overflowed client output buffers, and outlines both emergency fixes and long‑term mitigations.
The 2025 Vivo Developer Conference showcased cutting‑edge advances in traffic‑driven growth, microservice and Dubbo performance tuning, full‑link multi‑version environment automation, and GPU‑container AI training platforms, highlighting how these innovations boost efficiency, reliability, and cost‑effectiveness across Vivo’s internet services.
This article details how Vivo Browser's welfare center was re‑engineered—splitting services, sharding databases, adding arbitration and soft‑transaction mechanisms—to overcome traffic, I/O, and data‑consistency challenges, enabling stable operation at tens of millions of daily active users while reducing storage costs.
This article compares Three.js and Galacean Web 3D engines, explains performance bottlenecks of Three.js, showcases Galacean's core advantages, and provides a step‑by‑step migration guide with code examples for initializing, loading models, replacing assets, and handling animations.
This article presents a training‑free, architecture‑agnostic method that leverages LaTeX‑style structured inputs to preserve document hierarchy and spatial relationships, thereby improving multimodal large language model performance on document question answering tasks across multiple benchmarks.
In an interview, Vivo’s BlueOS team explains why they built their operating system with Rust, detailing the language’s safety and performance benefits, the challenges of adoption, the measurable gains in reliability and maintenance, and the learning curve developers faced.
This article details a complete engineering solution for bringing on‑device AI to WeChat mini‑programs, comparing TensorFlow.js and WeChat native inference, covering model conversion, package‑size optimization, integration steps, performance metrics, and a hybrid strategy that boosts recommendation click‑through rates by 30%.
DiMo-GUI is a plug‑and‑play framework that dramatically improves multimodal large language models' ability to locate GUI elements by using a hierarchical dynamic visual reasoning loop and modality‑aware optimization, achieving up to double the performance on high‑resolution GUI benchmarks without any additional training data.
This article explores the challenges of displaying GIFs in Android AppWidgets, evaluates two native approaches—ViewFlipper and AnimatedImageDrawable—highlights their limitations, and presents a network‑based solution that parses GIF frames and uses RemoteViews to animate them while staying within memory constraints.
