#AI token compression
681 related articles
Tutorials·2 min
LangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
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Tutorials·1 min
Claude Computer Control Best Practices: The Complete Guide to Screenshot Scaling and Coordinate Mapping
Official Anthropic best practices for Claude computer control: screenshot scaling resolution, coordinate mapping code, model pairing, and fixing click offset issues in AI agents.
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Product Reviews·2 min
PaperClip + Claude Code Multi-Agent Coordinated Development in Practice: Full Workflow Demo of an AI Virtual Team
Hands-on demo of building a multi-Agent development team with PaperClip and Claude Code, featuring Delivery Lead, Frontend/Backend Engineers, QA, and Code Reviewer roles in a full AI-automated development workflow.
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Tech Frontiers·2 min
AI Coding Tool Performance Optimization & Latest Advances in Multimodal Agents
Latest AI coding advances: OpenAI Codex Chrome extension enables browser auth, Everything Cloud Code optimizes multi-platform AI tools, ByteDance UiTARS V0.2.0 adds remote control, ERNIE 5.1 cuts pre-training cost to 6%, Anthropic NLA makes AI thinking readable.
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Tutorials·2 min
Tutorial: Integrating DeepSeek with QQ Bot — A Complete Guide to Calling AI APIs via POST Requests
A complete guide to integrating DeepSeek with QQ bots via POST requests, covering API call essentials, context memory implementation, and three integration methods.
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Deep Dives·2 min
Harness Engineering Explained: The Third Paradigm Shift in AI Engineering
Deep dive into Harness Engineering: the evolution from Prompt Engineering to Context Engineering to Harness Engineering, comparing Anthropic and OpenAI's different approaches to AI Agent development.
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Tutorials·2 min
LangChain 1.2 Agent Memory Mechanisms: A Practical Guide to Short-term and Long-term Memory
Learn how LangChain 1.2 Agent memory works. Code demos show why default Agents lack memory, plus practical guides to short-term and long-term memory mechanisms for building conversational AI Agents.
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Tutorials·2 min
AI Reverse Engineering in Practice: Cracking Modified SHA-1 and 20,000+ Lines of Obfuscated Code in One Shot
Learn how to use AI tools to crack modified SHA-1 algorithms and 20,000+ lines of obfuscated JS code, reducing hours of traditional reverse engineering to just 20 minutes.
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Tutorials·2 min
Claude Code Enterprise Deployment Guide: Ecosystem Framework and Hands-On Configuration
Deep dive into Claude Code's enterprise deployment architecture for large codebases, covering CLAUDE.md, Hooks, Skills, MCP servers, and organizational governance strategies.
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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·3 min
Codex Desktop Tutorial: Complete Breakdown from Installation to Interface Features
Complete breakdown of OpenAI Codex Desktop: installation, three-panel interface, plugin system, automation features, and more to help beginners master this all-in-one AI desktop assistant.
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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
Local Deployment of DeepSeek + RAG Knowledge Base Tutorial: A Step-by-Step Guide with Ollama + RAGFlow
Step-by-step guide to locally deploying DeepSeek with Ollama and building a RAG private knowledge base with RAGFlow. Covers environment setup, Docker deployment, and Embedding principles.
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Tutorials·2 min
5 Fatal AI Agent Failure Modes: A Practical Guide to Safe Architecture Design
Deep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
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Deep Dives·4 min
Agent Loop Core Mechanism Explained: Building a ReAct Loop from Scratch (With Debugging War Stories)
Deep dive into Agent Loop, the core mechanism of AI Agents, based on ReAct architecture. Covers Tool Call ID handling, context management, assistant message feedback, with full Python code and common bug fixes.
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Tutorials·4 min
10 High-Frequency Claude Code Commands That Will Double Your Development Efficiency
10 essential Claude Code commands covering terminal passthrough, Ctrl+G multi-line editing, double-Esc context compression, code review, and more to dramatically boost your AI programming efficiency.
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Tutorials·3 min
Taobao Sign Signature Reverse Engineering: AI-Assisted MD5 Encryption Cracking Full Workflow
Complete walkthrough of reverse engineering Taobao's sign signature MD5 encryption, covering packet capture, breakpoint debugging, algorithm verification, and Python code generation with AI assistance.
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Tutorials·2 min
Hermes Agent Configuration Tutorial: Build an AI Automation Workflow in Six Steps
Learn to configure Hermes Agent in 6 steps: Graphify saves 71x tokens, Smart Model Router cuts 70% costs, crawler matrix for web perception, and browser automation.
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Tutorials·2 min
Harness Engineering Explained: A Guide to Building a Four-Step Closed-Loop AI Agent Work System
A deep dive into the Harness Engineering four-step closed-loop principle (Goal, Action, Verification, Memory), clarifying its relationship with Prompt Engineering, Context Engineering, and MCP.
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