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这里有我们对技术的思考、对行业的观察和团队的成长故事Our thoughts on technology, observations on the industry, and the growth stories of our team
大模型微调实战：从零训练一个领域专用模型Fine-tuning in Practice: Training a Domain-Specific Model from Scratch
本文详细介绍如何使用LoRA技术对开源大模型进行高效微调，涵盖数据准备、训练策略、评估与部署的全流程。This article details how to efficiently fine-tune open-source LLMs with LoRA, covering the full pipeline from data prep and training strategy to evaluation and deployment.
2026年云计算市场趋势：从基础设施到AI原生的范式转移Cloud Computing Trends 2026: The Paradigm Shift from Infrastructure to AI-Native
分析全球云计算市场的最新变化，探讨AI原生架构如何重新定义企业上云的方式与价值。We analyze the latest shifts in the global cloud market and explore how AI-native architectures are redefining how enterprises move to the cloud.
天梦星云企业云平台 v3.0 技术架构深度解析Deep Dive into TiMXY Enterprise Cloud Platform v3.0 Architecture
全面解读v3.0版本的架构升级，包括混合云部署、弹性伸缩、安全合规与性能优化等核心改进。A comprehensive look at the v3.0 upgrade—hybrid-cloud deployment, elastic scaling, security compliance and performance optimization.
向量数据库选型指南：Milvus vs Pinecone vs WeaviateVector Database Selection Guide: Milvus vs Pinecone vs Weaviate
对比主流向量数据库在性能、扩展性、易用性和成本方面的差异，帮助团队做出正确的技术选型。We compare leading vector databases across performance, scalability, usability and cost to help teams make the right choice.
从天梦星云工程师的一天看我们的开发文化A Day in the Life of a TiMXY Engineer: Our Development Culture
走进研发团队，了解我们如何通过代码评审、技术分享和持续学习打造一流的技术氛围。Step inside our R&D team and see how code reviews, tech talks and continuous learning shape a world-class engineering culture.
智慧城市的下一个十年：从信息化到智能化的跨越The Next Decade of Smart Cities: From Digitalization to Intelligence
探讨AI大模型与物联网技术的融合如何重塑城市治理模式，展望智慧城市3.0的发展路径。We explore how the fusion of LLMs and IoT is reshaping urban governance and chart the path toward Smart City 3.0.
AI智能助手的设计哲学：让技术回归服务本质The Design Philosophy of AI Assistants: Technology in Service of People
分享我们在设计AI助手产品时的核心理念：不追求炫技，而是让AI真正解决用户的实际问题。Our core principle in designing AI assistants: not showing off, but truly solving users' real problems.
分布式系统一致性协议实战：Raft与Paxos的工程取舍Consensus Protocols in Practice: Engineering Trade-offs Between Raft and Paxos
结合实际项目经验，深入剖析两种主流一致性协议在工程落地中的优劣与适用场景。Drawing on real project experience, we dissect the strengths, weaknesses and best-fit scenarios of these two mainstream consensus protocols.