#DeepSeek model setup
350 related articles
·2 min
Hermes MoA Multi-Model Collaboration: A Real-World Test of Quality Leaps on Complex Problems
Real-world test of Hermes 0.18 MoA (Mixture of Agents): multiple models collaborate, advisors answer independently, a decision-maker synthesizes. Covers setup, speed, cost trade-offs, and best practices.
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·2 min
Complete Spring AI Tutorial: ChatModel, RAG, and MCP Practical Guide
A complete Spring AI guide for Java developers covering ChatModel, EmbeddingModel, ChatMemory, Tool Calling, MCP protocol, and RAG with Milvus. Build LLM apps in Spring Boot.
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·3 min
Harness Architecture in Practice: A Deep Dive into Enterprise-Level Agent Projects
A deep dive into Harness architecture in enterprise Agent projects, covering MCP protocol, sandbox isolation, multi-model scheduling, and ASGI deployment — key topics for LLM job interviews.
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·3 min
Getting Started with Claude Code: Full Project Context Understanding and Why It Beats Cursor and Trae
Claude Code is Anthropic's local AI coding assistant that reads your entire project context, auto-debugs, and outperforms Cursor and Trae on accuracy. Learn why.
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·2 min
Getting Started with Ollama: A Powerful Tool for Deploying Open-Source LLMs Locally
Ollama is a free, open-source LLM management platform that lets you deploy open-source models like DeepSeek locally with one click. It supports macOS, Windows, Linux, and Docker, with both API and CLI modes to build private AI apps at zero cost.
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·4 min
Getting Started with LangChain: LLM Limitations, Agent Principles, and Environment Setup in Practice
An in-depth look at LangChain's core value: the three limitations of LLMs, unified model interfaces, modular architecture, configuring the DeepSeek API, and understanding the SystemMessage/HumanMessage/AIMessage/ToolMessage system to build a foundation for Agent development.
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·4 min
AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?
In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.
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·3 min
Building a Local AI Coding Agent on Mac: A Complete Guide with Ollama, OpenCode, and MCP
A complete guide to building a local AI coding agent on a 32GB Mac: Ollama for local inference, OpenCode as the agent framework, and MCP memory servers for cross-session context. Code stays on-device, no subscription fees.
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Local Coding Agents in Practice: A Com…
·6 min
Local Coding Agents in Practice: A Complete Guide to Replacing Your Claude Subscription with Open-Source Models
An in-depth look at local coding agents—core concepts, advantages, and real challenges. Compare against Claude Code and learn to build a zero-subscription, private AI coding workflow with open-weight models.
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·4 min
AI Coding Tool Data Leakage Risks: A Security Guide for Protecting Quantitative Strategies
AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.
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·5 min
Getting Started with LangChain: LLM Invocation, Agent Practice, and Environment Setup Guide
Starting from the three limitations of LLMs, this guide systematically explains LangChain's core positioning, environment setup, API key prep, model init, and the message system. Learn init_chat_model and AIMessage/HumanMessage/SystemMessage.
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·4 min
How Background AI Agents Can Automatically Maintain All Your Repositories on a Schedule
OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.
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·3 min
The Truth About Third-Party ChatGPT Subscription Services: Three Major Risks and a Safe Subscription Guide
Are third-party ChatGPT top-up services safe? We expose how ¥158 recharge scams work, the real risks of account theft and bans, and how to subscribe safely.
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·5 min
The Complete OpenCode Tutorial: Installation, Commands, and Advanced Practice
Systematically learn the OpenCode AI programming tool: covering both desktop and WSL installation, core commands, model and rule configuration, MCP integration, and Agent Skills.
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·4 min
How to Connect DeepSeek to Claude Code: A Complete 4-Step Setup Guide for Users in China
Step-by-step guide to connecting DeepSeek to Claude Code via CC Switch — no VPN needed, start for just ¥10. Covers API Key setup, installation, model config, and a live demo.
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·5 min
Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls
A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.
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·4 min
DeepSeek Coder Deep Dive: How This Open-Source Code LLM Outperforms GPT-4
A deep dive into DeepSeek Coder V1 to V2: MoE architecture, 128K context, 90.2% HumanEval pass rate, and how it became the first open-source model to beat GPT-4 Turbo.
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·3 min
Real-World Test: GPT-4.1 mini Solved a Crash Bug That Stumped Every Chinese LLM
Real debugging case: when 400MB of source code and 40K files caused an infinite crash loop, MiniMax M3, DeepSeek, and Hunyuan all gave wrong answers. GPT-4.1 mini found the root cause after an hour of deep reasoning.
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·4 min
BingoCode: An Open-Source AI Coding Tool for Offline Deployment — A Claude Code Alternative
BingoCode is an MIT-licensed open-source AI coding tool supporting offline intranet deployment, compatible with DeepSeek, Claude, OpenAI, and Gemini. Pure CLI design, four-step setup, high cache hit rates for lower costs — ideal for security-conscious teams.
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·7 min
Getting Started with LangChain 1.3: Core Concepts of LLMs and Agents
An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.
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