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This article explains how cloud computing has historically reduced accidental complexity, why AI agents introduce a fundamentally new software paradigm, and how Tencent Cloud's Agent Infra and Agent Runtime provide a layered, serverless, and secure infrastructure to support autonomous, uncertain, and complex AI workloads.
Tencent’s newly released Yan system advances interactive video generation by delivering high‑fidelity, real‑time, editable content for games, virtual worlds and AIGC, featuring a three‑module architecture—Yan‑Sim for AAA‑level simulation, Yan‑Gen for multimodal generation, and Yan‑Edit for granular editing—while also introducing a large‑scale high‑quality dataset and efficient inference optimizations.
This article explains how to replace the luck‑based Vibe Coding approach with a structured Spec workflow—using Kiro, Claude Code, or other AI IDEs—to turn vague prompts into clear requirements, designs, task lists, and incremental, reviewable code, dramatically improving productivity and quality.
Tencent Cloud’s self‑developed TCDataAgent secured the global third place on the demanding BIRD‑Bench NL2SQL benchmark by leveraging database‑aware constraint verification, post‑training techniques, and real‑data SQL optimization, achieving a 75.74 score and significant accuracy gains over existing methods.
Tencent engineers highlighted a massive speedup in DeepSeek’s open‑source DeepEP communication framework, revealing how their TRMT‑based optimizations—dynamic multi‑QP topology awareness, IBGDA‑driven CPU‑bypass, and atomic signaling—boost RoCE network throughput up to 300% and add another 30% gain when applied to InfiniBand, effectively doubling GPU communication performance for large AI models.
This guide walks you through quickly deploying DeepSeek series models on the Tencent Cloud TI platform, covering model selection, resource planning, step‑by‑step service creation, free online trial, API testing via built‑in tools or curl, and managing inference services for both large and compact models.
This article explores how Tencent's LeYong AI assistant leverages Retrieval‑Augmented Generation to empower enterprise knowledge retrieval, detailing three capability dimensions—knowledge management, engineering, and algorithmic—along with eight sub‑areas such as knowledge boundaries, quality, permissions, multimodal handling, long‑context span, and complex reasoning.
Tencent’s Angel machine learning platform, recognized for breakthroughs in trillion‑scale model training, inference, and deployment, won the 2024 World Internet Conference Leading Technology Award, highlighting its self‑developed hardware‑software stack, high‑performance networking, and extensive real‑world AI applications.
Tencent’s Angel machine‑learning platform, recognized with the 2023 China Institute of Electronics Science & Technology Award, showcases breakthrough distributed training, high‑efficiency caching, adaptive sampling, multimodal fusion, and graph‑model search technologies that dramatically improve large‑scale AI model performance and cost.
Tencent’s Robotics X lab unveils a versatile dual‑arm humanoid framework that integrates vision‑based optimal grasping, safety‑ensured collaborative planning, and skill‑transfer interfaces, enabling tasks such as synchronized screw turning, pouring, interference suppression, and large‑object handovers, as detailed in a recent IEEE Transactions on Robotics paper.
