#AI deployment
23 related articles
·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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Codex Systematic Tutorial: From Beginn…
·2 min
Codex Systematic Tutorial: From Beginner to Enterprise-Level AI Engineering
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
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Cursor Design Mode Launch and OpenAI C…
·3 min
Cursor Design Mode Launch and OpenAI Codex Updates: Latest Developments in AI Programming Tools
Cursor launches Design Mode for visual development, OpenAI Codex updates and Safety Lock Mode released, Anthropic doubles limits, AI agent leaderboards debut, Google DeepMind model compression breakthrough.
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·1 min
AI Won't Replace Radiologists — It Will Help Them Heal More People
Will AI replace radiologists? No. Their core value is healing patients, not reading images. AI as an efficiency tool lets doctors return to being healers — a framework applicable to all AI career anxiety.
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Tech Frontiers·1 min
Gemini 3.5 Flash Achieves a Massive Leap on the GDPval Benchmark
Google Gemini 3.5 Flash surpasses Gemini 3.1 Pro on the GDPval benchmark. The lightweight Flash model leverages post-training techniques to approach frontier-level performance, redefining the balance between quality and cost.
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Tutorials·3 min
Optimizing ASR Startup Scripts with DeepSeek: Intelligent Detection Over Countdown Timers
Learn how to use DeepSeek to rewrite ASR local AI project startup scripts from countdown mode to intelligent output-based detection, with full steps and troubleshooting tips.
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Tech Frontiers·3 min
OpenAI Leadership Shakeup as Greg Brockman Returns, Cerebras IPO Hits $67B Valuation, Open-Source Agents Dominate GitHub
OpenAI co-founder Greg Brockman takes over product strategy, Cerebras IPO hits $67B market cap, and open-source agents OpenHuman and OpenClack dominate GitHub as AI shifts from capability to deployment.
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Tech Frontiers·2 min
Major Codex Plugin Upgrade: One-Click Install Transforms AI into Professional Role-Based Assistants
OpenAI's Codex plugin system gets a major expansion, connecting 62 mainstream apps and 110 work skills across sales, analytics, creative, design, and investing. One-click install transforms Codex into a professional AI assistant—no coding required.
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Product Reviews·3 min
Claude Code Firmware-Level Ops in Practice: Virtual Disk Expansion & Local Agent Deployment
Hands-on testing of Claude Code for firmware-level ops: Ventoy virtual disk expansion, ext4-to-btrfs conversion, and a cost-effective local Agent deployment architecture with distributed design.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Tutorials·3 min
110 Hands-On Embedded Linux Projects: From Beginner to High-Paying Driver Development
A complete hands-on checklist of 110 embedded Linux projects covering audio/video, Rockchip platforms, smart home, and driver development — with clear learning paths from beginner to high-paying roles.
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Industry Insights·3 min
OpenAI Models Officially Land on AWS Bedrock, Ushering in a New Multi-Cloud Era for Enterprise AI Deployment
OpenAI's frontier models and Codex are now GA on Amazon Bedrock, letting enterprises leverage AWS security and compliance to access OpenAI capabilities. A deep dive into the multi-cloud AI impact.
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Product Reviews·2 min
Wanxing Mind Map: A Practical Guide for Lawyers to Efficiently Organize Recordings and Transcripts with AI
How Wanxing Mind Map's AI file parsing helps lawyers auto-transcribe recordings and transcripts into mind maps, covering litigation evidence and criminal defense.
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Industry Insights·2 min
What Problem Do You Most Want AI to Solve? A Deep Reflection on the Future Direction of AI
A simple tweet sparks wide discussion: What do you most want AI to solve? From healthcare to education equity and scientific research, exploring the shift from technology-driven to demand-driven AI.
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Industry Insights
Deep Dive into Three Major LLM Career …
·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Tutorials
The Complete Guide to Spring AI: A Ful…
·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Product Reviews·2 min
89K Stars: Deep Dive into the Open-Source Tool That Lets AI Agents Take Over Your Browser
Deep dive into the 89K-star AI browser automation open-source project on GitHub — how it lets LLMs autonomously control browsers for web tasks, covering core capabilities, use cases, and getting started.
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Deep Dives·3 min
Deep Dive into MCP Code Execution & Agent Skills: Compressing 150K Tokens Down to 2,000
Deep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
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Tech Frontiers·3 min
xAI Merges with SpaceX, GPT-5.5-Cyber Preview, Gemini 3.1 Flash Released
Musk announces xAI-SpaceX merger as SpaceX AI, OpenAI launches GPT-5.5-Cyber security model, Google releases Gemini 3.1 Flash, and Airbnb reveals AI writes 60% of new code.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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