Official Kuaishou tech account, providing real-time updates on the latest Kuaishou technology practices.
Fast Mobile showcased its AI model, 可灵AI, at the 2024 China Computer Conference, highlighting its achievements in generating over 3.7 billion videos and images, and announced a new research fund to foster academic-industry collaboration in AI.
This article details the design and optimization of Kola2d, a custom WebGL rendering engine for Docs online spreadsheets, explaining why WebGL was chosen, how the system separates business and rendering layers, and the many performance tricks that enable smooth 50+ FPS rendering of tables with up to a million cells.
The paper introduces XPSR, a diffusion‑based image super‑resolution method that incorporates cross‑modal semantic priors from a large multimodal language model, achieving state‑of‑the‑art performance on both reference and no‑reference quality metrics across synthetic and real‑world video restoration tasks.
This article details the strategic development and technical architecture of SalesCopilot, an LLM-driven agent platform designed for enterprise commercialization, highlighting the implementation of RAG and agent technologies, addressing practical challenges, and sharing key insights for building scalable AI applications.
Blaze is a Rust‑implemented, DataFusion‑based vectorized execution engine created by Kuaishou to accelerate Spark SQL queries, delivering up to 60% faster computation, 30% average compute‑power gains in production, and extensive architectural innovations such as native engine, protobuf protocol, JNI bridge, and Spark extension, while being open‑source and compatible with Spark 3.0‑3.5.
The article presents a comprehensive overview of Kuaishou’s Kolors (formerly 可图) multimodal generative model, detailing its data collection strategy, diffusion‑based architecture, evaluation metrics, derived capabilities such as prompt refinement and interactive generation, and a range of practical applications from AI‑powered live‑stream gifts to virtual try‑on, while also offering strategic advice for the domestic visual‑generation community.
At the China Multimedia 2024 conference in Yinchuan, Kuaishou presented its latest AI‑driven large‑model technologies—including text‑to‑image, text‑to‑video, and audio models—alongside advances in intelligent video coding, a new research‑fund initiative, and recent industry awards.
The article describes Gundam, Kuaishou's front‑end engineering scaffold, its goals of unified standards and efficiency, the practical challenges faced during the New Year Eve project, and the future direction of engineering standardization and automation through a layered engineering funnel approach.
This paper introduces Parrot, a system that enhances large language models' (LLMs) multi-turn instruction following capabilities through context-aware preference optimization (CaPO) and synthetic data generation, achieving significant performance improvements with limited training data.
This article introduces the Multidimensional Preference Model (MPS), the first multi‑dimensional scoring system for evaluating text‑to‑image generation, built on the newly released MHP dataset with extensive human annotations across aesthetic, semantic alignment, detail quality, and overall preference dimensions, and demonstrates its superior performance through comprehensive experiments and RLHF integration.
