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Latest from Kuaishou Tech

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Kuaishou Tech

Aug 21, 2025 · Artificial Intelligence

How SeamlessFlow Doubles RL Training Throughput and Cuts Time by 62%

SeamlessFlow, an industrial‑scale reinforcement‑learning training framework released by Kuaipilot, decouples trainer and agents via a novel data‑plane, introduces a tag‑based resource scheduler, and eliminates pipeline bubbles, achieving up to 100% token‑throughput boost and 62% reduction in overall training time across large‑model RL workloads.

Distributed TrainingPipeline Optimizationreinforcement learning

0 likes · 13 min read

How SeamlessFlow Doubles RL Training Throughput and Cuts Time by 62%

Kuaishou Tech

Aug 20, 2025 · Frontend Development

How AI Is Transforming Frontend Development: Highlights from Kuaishou’s Tech Salon

The Kuaishou AI‑driven Frontend Technology Evolution salon gathered over 300 engineers and 46,000 online viewers to showcase how AI is reshaping large‑scale front‑end development across business, R&D, and infrastructure, with deep dives into AI‑native platforms, AIDevOps, intelligent agents, AI‑powered D2C, and observability.

AIAIDevOpsAgent

0 likes · 11 min read

How AI Is Transforming Frontend Development: Highlights from Kuaishou’s Tech Salon

Kuaishou Tech

Aug 18, 2025 · Artificial Intelligence

How Klear-Reasoner Achieves SOTA Math & Code Reasoning with GPPO Optimization

The Klear‑Reasoner model, built on Qwen3‑8B‑Base and powered by the novel Gradient‑Preserving Clipping Policy Optimization (GPPO) algorithm, surpasses same‑size open‑source baselines on challenging math (AIME) and code (LiveCodeBench) benchmarks, while revealing key insights on data quality, reward design, and clipping strategies for large‑language‑model reasoning.

GPPOLLMcode reasoning

0 likes · 11 min read

How Klear-Reasoner Achieves SOTA Math & Code Reasoning with GPPO Optimization

Kuaishou Tech

Aug 7, 2025 · Artificial Intelligence

Balancing Personalization and Safety: LaD Model Boosts Real‑Time Search Query Generation

This article presents the LaD model, an end‑to‑end generative and detoxification framework for search query auto‑completion that hierarchically captures long‑ and short‑term user interests, achieves large AB test gains on Kuaishou, and has been accepted at KDD 2025.

Generative ModelsKDD2025LaD

0 likes · 11 min read

Balancing Personalization and Safety: LaD Model Boosts Real‑Time Search Query Generation

Kuaishou Tech

Aug 6, 2025 · Artificial Intelligence

How Supervised Learning‑Enhanced Multi‑Group Actor‑Critic Boosts Live Stream Allocation in Short‑Video Feeds

This article presents the SL‑MGAC framework, a supervised‑learning‑enhanced multi‑group Actor‑Critic algorithm that improves live‑stream insertion decisions in mixed short‑video and live‑stream recommendation systems, achieving higher stability and better long‑term user engagement while satisfying platform constraints, as validated by extensive offline and online experiments.

KDD 2025Supervised Learningactor-critic

0 likes · 9 min read

How Supervised Learning‑Enhanced Multi‑Group Actor‑Critic Boosts Live Stream Allocation in Short‑Video Feeds

Kuaishou Tech

Jul 31, 2025 · Big Data

How Kuaishou Overcame the ‘Impossible Triangle’ of Performance, Flexibility, and Cost in Real‑Time Big Data Analytics

This article details how Kuaishou’s content middle platform tackled the massive challenges of real‑time, flexible, and cost‑effective data analysis at trillion‑scale by redesigning its architecture, adopting ClickHouse, splitting wide tables, and implementing a scatter‑gather execution model with pre‑shuffle and bitmap optimizations.

Big DataClickHouseReal-time Analytics

0 likes · 17 min read

How Kuaishou Overcame the ‘Impossible Triangle’ of Performance, Flexibility, and Cost in Real‑Time Big Data Analytics

Kuaishou Tech

Jul 29, 2025 · Artificial Intelligence

How Kuaishou’s 8 Groundbreaking Papers Are Shaping AI at KDD 2025

Eight Kuashou research papers covering recommendation systems, multi‑task learning, multimodal large models, large language models, and combinatorial optimization have been accepted to the premier AI data‑mining conference KDD 2025, highlighting the company’s cutting‑edge innovations and their potential impact on the field.

AIMultimodal Learningdata mining

0 likes · 18 min read

How Kuaishou’s 8 Groundbreaking Papers Are Shaping AI at KDD 2025

Kuaishou Tech

Jul 23, 2025 · Artificial Intelligence

Revolutionizing Cascade Ranking with LCRON: End-to-End Training for Ads

This article introduces LCRON, a novel end-to-end training framework for cascade ranking systems that aligns training objectives with overall recall, addresses stage interaction challenges, and demonstrates significant performance gains on public benchmarks and in Kuaishou’s commercial advertising platform.

Advertisingcascade rankingend-to-end training

0 likes · 14 min read

Revolutionizing Cascade Ranking with LCRON: End-to-End Training for Ads

Kuaishou Tech

Jul 22, 2025 · Artificial Intelligence

How Orthus Achieves Lossless Multimodal Generation with a Unified Autoregressive Transformer

Orthus, a new unified multimodal model presented at ICML 2025, leverages an autoregressive Transformer backbone with separate language and diffusion heads to enable lossless image‑text interleaved generation, outperforming existing models on both understanding and generation benchmarks while remaining computationally efficient.

AI researchText-to-Imageautoregressive transformer

0 likes · 11 min read

How Orthus Achieves Lossless Multimodal Generation with a Unified Autoregressive Transformer

Kuaishou Tech

Jul 21, 2025 · Artificial Intelligence

Can AI Models Think on Demand? Inside KAT‑V1 AutoThink’s Dynamic Reasoning

The article introduces KAT‑V1 AutoThink, a dual‑mode large language model that automatically switches between thinking and non‑thinking modes based on problem difficulty, details its novel training paradigm, reinforcement‑learning enhancements, performance benchmarks against leading open‑source models, and provides open‑source resources for further research.

Knowledge DistillationLarge Language Modelauto-think

0 likes · 14 min read

Can AI Models Think on Demand? Inside KAT‑V1 AutoThink’s Dynamic Reasoning