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1785 related articles
·3 min
ChatGPT Financial Services Workflow in Practice: A Complete Guide from Investment Research to Financial Modeling
OpenAI demonstrates how ChatGPT transforms financial services workflows — from GPT 5.5 financial optimization and Deep Research investment dossiers to Excel financial modeling and automated decision presentations.
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·3 min
Andrew Ng and Anthropic Launch the Definitive Claude Code Tutorial: A Complete Breakdown
Andrew Ng and Anthropic launch the definitive Claude Code course covering core principles, multi-instance parallel development, MCP server integration, and three hands-on projects for AI-assisted programming.
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·3 min
AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
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·4 min
Claude + Trae IDE with Yakit: Automated Penetration Testing via MCP in Practice
Learn how to use Claude LLM with Trae IDE and MCP protocol to orchestrate Chrome browser and Yakit for automated penetration testing, covering setup, agents, and vulnerability detection.
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·3 min
Google CEO Pichai Admits AI Coding Gap, Details Catch-Up Strategy and AGI Outlook
Google CEO Sundar Pichai admits Google lags in AI coding, details its catch-up strategy involving data flywheels, addresses Gemini controversies, and shares his evolving views on AGI.
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·2 min
Free Grok Image Generation Tools Tested: In-Depth Analysis of Third-Party Platform Capabilities and Security Risks
Hands-on testing of third-party free Grok image generation platforms, analyzing data privacy risks and business logic, with recommendations for using Grok via official channels like X and grok.com.
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·5 min
CherryStudio + MCP: Tutorial for Building Automated AI Agents and Local Knowledge Bases
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.
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·2 min
Getting Started with LLM Fine-Tuning: Teaching AI New Tricks with Your Own Data
A detailed guide to LLM fine-tuning: core concepts, three key characteristics, and when to use it. Learn how to train a specialized AI model with small, high-quality datasets, plus comparisons with RAG and prompt engineering.
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·3 min
Roo Code Deep Dive: A Guide to the Multi-Model AI Coding Assistant for VS Code
Deep dive into Roo Code (formerly Roo Cline) VS Code extension: multi-AI backend switching, auto-diff code review, terminal command execution, and Architect Mode explained with practical tips.
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·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
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·2 min
Anthropic Sales Rep Builds AI Tools with Claude, Transforms from Account Executive to GTM Architect
Anthropic account exec Jared built Clasps, an AI email tool using Claude and RAG architecture, saving 2-3 hours daily and transforming into a GTM Architect.
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·2 min
v0 Snowflake Integration Enters Public Preview: Generate Data Dashboards with Natural Language
Vercel's v0 announces public preview of Snowflake integration, enabling users to connect data sources and auto-generate professional dashboards using natural language prompts.
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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·1 min
Cursor System Outage: Paid Users Hit by Quota Restrictions, Official Fix Underway
AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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·2 min
Claude Code Installation & Deployment Guide: From Environment Setup to Successful Launch
Complete guide to installing and deploying Claude Code, covering Node.js setup, NVM version management, network proxy configuration, and API provider switching.
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·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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