#large language models
762 related articles
Tutorials·3 min
Cursor + MCP + AScript Automation in Practice: How AI Programming Lowers the Development Barrier
In-depth analysis of how Cursor + MCP + AScript enables platform automation—covering architecture, workflow, and risk considerations for AI-powered development.
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Product Reviews·2 min
Deep Dive into Base44: Can You Really Use Claude Code for Free?
In-depth analysis of the Base44 no-code platform, revealing the marketing nature of "free Claude Code" videos. Objective evaluation of Base44's capabilities, free tier limits, and real alternatives.
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Tutorials·2 min
LangChain Few-Shot Prompt Templates in Practice: A Complete FewShotPromptTemplate Tutorial
Learn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
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Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Tutorials·2 min
Claude Code Hooks: The Ultimate Solution for Replacing Prompts with Deterministic Control
Deep dive into Claude Code Hooks: achieve deterministic control over code formatting, dangerous command blocking, and team config sharing via lifecycle events.
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Industry Insights·2 min
Apple's AI Meltdown: The Siri Power Struggle and the Full Story Behind Apple Intelligence's Failure
Deep dive into why Apple's AI strategy failed: faked WWDC demos, Siri's 14-year stagnation, internal AI team wars, the ChatGPT shock, and what comes next.
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Deep Dives·4 min
AI Hallucinations: Why Large Language Models Inevitably "Make Things Up" and How to Deal With It
Deep dive into AI hallucination's three root causes: training objective flaws, exposure bias, and probabilistic generation. Covers classification and practical mitigation strategies including RAG.
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Deep Dives·2 min
The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex
Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Tutorials·2 min
OpenSpec in Practice: Write Specs Before AI Codes, Boost Efficiency by 70%
OpenSpec is a lightweight CLI tool that generates spec documents before AI writes code using a Propose→Continue→Apply→Archive workflow. DeltaSpec reduces output by 70%, supports 30+ AI coding tools.
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Industry Insights·3 min
Gemini Membership Gray Market Scams Exposed: The Real Risks Behind 'Free Access' Tutorials
Exposing Gemini membership gray market scams that exploit Google I/O hype, analyzing account security and legal risks, and providing legitimate ways to access Gemini premium services.
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Tutorials·2 min
OpenClaw Step-by-Step Deployment Guide: From Local Installation to Multi-Platform Integration
Step-by-step OpenClaw open-source AI agent deployment guide covering local setup, cloud deployment, WeChat and Feishu integration, and custom Skills development.
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Deep Dives·3 min
Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained
Complete 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.
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Tutorials·2 min
Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
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Tutorials·3 min
OpenClaw Local Deployment Tutorial: Connect to WeChat, Feishu & DingTalk in 10 Minutes
Complete guide to deploying OpenClaw locally, covering Windows setup, cloud deployment, WeChat/Feishu/DingTalk integration, and custom Skills—beginners can deploy in 10 minutes.
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Tutorials·2 min
Ollama Local LLM Deployment: From Installation to Conversation in Three Steps
Learn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Guide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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