#memory optimization
1328 related articles
Tutorials·2 min
AI-Assisted APP Reverse Engineering in Practice: Automatically Extracting Product Data with MCP + IDA
Learn how to use MCP protocol to connect IDA Pro with AI LLMs for automated APP reverse engineering — from packing detection and unpacking to extracting product data.
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Tutorials·2 min
Claude Code Installation & Setup Guide: Comparison with Cursor/TRAE and Solutions for Users in China
Complete guide to installing Claude Code with system requirements and setup for users in China. Compare with Cursor and TRAE, learn IDE integration, and configure third-party models like DeepSeek.
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Tutorials·2 min
How to Tell If Your GPU Is Out of VRAM When Running Local LLMs: A Complete Guide to VRAM Monitoring
How to tell if your GPU is out of VRAM when running local LLMs. Learn the difference between dedicated and shared GPU memory, monitor VRAM overflow via Task Manager, and use quantization and context length control to avoid OOM.
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Tutorials·2 min
Claude Code Keeps Writing Garbage Code? A Configuration Guide for CLAUDE.md and AGENTS.md
Deep dive into CLAUDE.md and AGENTS.md configuration for Claude Code. Real cases show proper setup reduces context explanation time from 60% to near zero, letting AI truly understand your project.
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Product Reviews·1 min
Qwen3.6-27B Open-Source Model Review: Flagship-Level Code and Multimodal Capabilities with Just 27B Parameters
Deep dive into Alibaba's Qwen3.6-27B: a 27B dense model delivering flagship-level code generation and multimodal capabilities on a single GPU with INT4 quantization.
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Tutorials·2 min
Hermes + Qwen3.6 Local Deployment Tutorial: Build Your Private AI Agent at Zero Cost
Step-by-step tutorial to deploy Hermes Agent with Qwen3.6 open-source LLM locally. Covers WSL setup, model download, Telegram bot integration for a zero-cost private AI Agent.
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Product Reviews·1 min
Qwen3.6 27B: Real-World Testing of Three Unconventional Quantized Models — Code Performance +15.8PP, 40B Distillation, 16GB Adaptation
Real-world comparison of three community-built Qwen3.6 27B variants: OmniMerge V4 with +15.8pp code gains, 40B OPUS distilled for roleplay, and a 16GB-optimized version for limited VRAM.
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Tutorials·2 min
vLLM and SGLang Local Deployment Tutorial: A Practical Guide to 3-8x Performance Gains
Complete guide to deploying vLLM and SGLang locally. Compare performance vs LM Studio, deploy in 3 steps with Docker + AI assistant. Covers SGLang vs vLLM selection, 5090 VRAM optimization, and Cherry Studio integration.
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Industry Insights·2 min
Enterprise LLM Selection Guide: In-Depth Comparison of Llama 3.1, Qwen 2.5, and DeepSeek
How should enterprises choose open-source LLMs? This guide compares Llama 3.1, Qwen 2.5, DeepSeek, and Mistral across model capabilities, hardware requirements, and business scenarios.
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Deep Dives·3 min
What Are LLMs, Skills, Agents, and OpenClaude? A Complete Guide to Core AI Concepts
A plain-English guide to LLMs, Skills, AI Agents, and OpenClaude — clarifying how AI evolved from "can talk" to "can act" to "can act autonomously," with a comparison table.
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Tutorials·3 min
AI Agent Development in Practice: 5 Evolutionary Stages from API Calls to Multi-Agent Collaboration
A complete guide to AI Agent development evolution: from API First principles to multi-Agent collaboration, covering prompt optimization, context engineering, and memory mechanisms to build reliable enterprise Agent systems.
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Tutorials·4 min
Codex + Ollama Local Deployment Guide: Build a Free AI Coding Assistant at Zero Cost
Step-by-step guide to deploying Codex with Ollama locally for a free AI coding assistant, covering hardware checks, Ollama setup, model downloads, and full integration configuration.
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Tutorials·4 min
STM32 Smart Car Development: Where Does AI-Assisted Programming Hit Its Limits?
A deep dive into an STM32F103C8T6 HAL library AI smart car course, exploring AI's real capabilities and three key limitations in embedded development, and the best practices for human-AI collaboration.
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Product Reviews·3 min
BuildingAI Open Source Project Deep Dive: Building AI Apps Like Stacking Blocks
Deep dive into BuildingAI, an open source block-based AI app builder with 1600+ Stars. Explore its architecture, use cases, and how it compares to Dify and Coze.
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Tutorials·4 min
Building a Generative Recommendation System with Go and AI Agents: Architecture Design and Practical Analysis
Deep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·3 min
Microsoft Tutel: A Deep Dive into the MoE Model Acceleration Library with FP4/FP8 Low-Precision Support
A deep dive into Microsoft's open-source Tutel MoE optimization library, supporting FP8, NVFP4, and MXFP4 multi-precision computation for DeepSeek, Kimi-K2, Qwen3, and other leading MoE models.
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