The Volcano Engine Developer Community, Volcano Engine's TOD community, connects the platform with developers, offering cutting-edge tech content and diverse events, nurturing a vibrant developer culture, and co-building an open-source ecosystem.
This article details the design and implementation of an AI-driven assistant for Lynkco car online marketing, covering its capabilities, workflow architecture, prompt engineering, intent recognition, backend operations, and report analysis to enhance sales conversion and user experience.
This article reviews recent advances in applying large language models to computer vision, covering background challenges, unified multimodal modeling, the PixelLM architecture for pixel‑level understanding and generation, and new approaches to image and video creation such as StoryDiffusion, while outlining future research directions.
This article details ByteDance’s disaster‑recovery evolution—from a single‑room deployment to same‑city multi‑data‑center setups and finally to active‑active multi‑region architectures—explaining the challenges, specific failure scenarios, and the strategic practices used to ensure continuous service during outages.
This article details the creation of a multi‑model AI chatbot, covering its core features, workflow, prompt role configuration, parameter tuning, anti‑reverse‑engineering measures, competitive landscape, and reflective insights for developers building large‑model applications.
RAG technology leverages vector databases to provide context‑aware answers without updating model parameters, and this article explores how cloud search teams integrate multiple vector algorithms, balance cost, stability and latency, and adopt open‑source solutions like OpenSearch to build scalable, enterprise‑grade retrieval systems.
Discover how we created the AI‑powered game “I’m Surrounded by AI!” on the Coze Agent platform, detailing the game’s Turing‑test premise, workflow‑driven state management, code‑based variable handling, database integration, and the practical challenges we overcame to deliver an engaging human‑vs‑AI experience.
This article details the end‑to‑end migration of ByteDance's HTTPDNS service from a central cloud to edge nodes, covering technical challenges in service placement and traffic scheduling, the edge‑native solutions implemented with visualization models and GTM, and the resulting performance, cost and reliability gains.
This article details Haijing Technology's challenges with real‑time telecom data analysis, explains why traditional Hadoop and ClickHouse solutions fell short, and shows how ByConity's unified engine, multi‑table joins, and elastic scaling enable efficient, low‑latency analytics across complex B‑O‑M domains.
This article introduces an AI‑driven Smart Report Assistant Bot that automatically converts uploaded Excel files into recommended charts, allows users to customize reports, and details the underlying workflow—including Excel parsing, LLM‑generated SQL, dynamic table creation, chart rendering with ECharts, and image‑merging plugins.
This article details the practical journey of building and scaling an Elasticsearch‑based search system that supports tens of millions to billions of items, covering architecture design, capacity planning, multi‑data‑center deployment, data synchronization via RocketMQ and Flink, and multi‑layer reconciliation to ensure consistency and high QPS.
