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Learn how to integrate Spring AI with Ollama to run open-source LLMs like Llama and Gemma locally for free. Covers setup, configuration, and code — switch from OpenAI by just changing dependencies.

In-depth review of the ThundeRobot Hunter Blade S 2026 with i9-13900HX and RTX 5060 16GB. Analyzing CPU/GPU performance, AI capabilities, and value at ~6,671 RMB after subsidies.

A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.

A detailed guide to deploying a multimodal AI Agent on a 3080Ti with 12GB VRAM, covering LLM, STT, TTS, image and video generation module selection, dynamic VRAM loading, and real-world performance.

A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.

Google releases Gemma 4 12B, an open-weight model that runs locally on laptops. Learn about its performance, local deployment value, and the open-source LLM competitive landscape.

Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.

Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.

AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.

Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.

A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.

Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.
Deep DivesComplete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.
TutorialsComplete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
Tech FrontiersDeepSeek-V3.2 released with coding, math, and Agent capabilities matching Gemini 3.0 Pro, setting new open-source SOTA. Detailed analysis of performance gains, use cases, and deployment tips.
Product ReviewsHands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
Product ReviewsWhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
TutorialsDeploy Cloud Code and Hermes AI Agents to efficiently manage three physical hosts solo. Covers Ventoy single-file deployment, BTRFS+RAW Image setup, Agent task division, and risk control strategies.
TutorialsGuide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.
TutorialsA practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.