Search results for "Engineering"

AI Tools

The Tip Engineering Guide is the world's most popular open-source tip engineering learning project initiated by the renowned AI research institution DAIR.AI. It has accumulated over 30000 stars on GitHub and covers the entire knowledge system from basic principles to advanced technologies. The

AI Tools

CMMLU (Chinese Massive Multitask Language Understanding) is a large-scale language understanding benchmark designed specifically for the Chinese language context, covering 67 subject topics from beginner to advanced professional levels, including natural sciences, social sciences, engineering

AI Tools

PromptPilot is a systematic prompt word engineering platform launched by Volcano Engine, aimed at addressing the pain point of "how to efficiently ask AI questions". It provides full lifecycle management covering Prompt generation, debugging, evaluation, and iteration, supports one click rewriting

AI Tools

Genspark is a versatile AI workspace that automates end-to-end tasks through Super Agent. It generates presentations, analyzes data, writes code, and makes phone calls without the need for prompt word engineering. The platform integrates over 30 top-tier models, including GPT, Claude, and Gemini, and provides suites for AI slideshows, AI spreadsheets, and AI developer tools. With over 20 million users and annualized revenue exceeding $100 million, it empowers knowledge workers to shift from "task processing" to "product creation."

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OpenAI Codex is an AI programming agent launched by OpenAI, with a cloud based software engineering agent as its core form, capable of independently completing the entire development process from requirement understanding to code delivery. After users describe the task objectives through natural

AI Tools

Qodo is an AI-driven code review and governance platform that helps engineering teams standardize code quality and review processes at the speed AI writes code. It offers 15+ agentic workflows for IDEs, PRs, and security reviews, detecting critical issues, logic gaps, enforcing standards, and providing context-aware suggestions to accelerate reviews and improve code quality.

AI Tools

MasterGo AI is a leading enterprise-grade AI design tool in China, offering four core capabilities: AI Quick Layout, AI Design Assistant, D2C Pro (design-to-code conversion), and MCP protocol support. Deeply integrated with enterprise design systems, it ensures immediate compliance upon generation and produces editable vector graphics as well as production-ready frontend code (e.g., React, Vue); it also supports private deployment. It has served over 100 industry-leading enterprises and generated more than 500 million lines of code to date.

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Mercor is a pioneering platform that organizes human intelligence to power the AI economy. It connects top AI labs and enterprises with expert talent for frontier research, RLHF data, and AI agent training at scale. Offering flexible roles across management consulting, healthcare, finance, legal, engineering, and more, Mercor provides competitive hourly rates and daily payouts. Its APEX suite includes benchmarks and off-the-shelf data solutions, enabling businesses to accelerate AI deployment and monetize data effectively.

AI Tools

Augment Code is an agentic software development platform designed for organizational scale, leveraging AI agents to boost engineering throughput by 2-3 times. It closes the gap between individual engineers and organizational efficiency, enabling smarter, faster development at scale.

AI News

Introduction: When AI Became My "Colleague," I Realized the Importance of Prompt Engineering To be honest, three months ago, I was using ChatGPT for some pretty "silly tasks"—like asking it to write a...

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2026 Stable Diffusion Prompt Engineering Tips: In-Depth Review of 5 High-Value Tools — A Must-Read to Avoid Pitfalls Hey folks, anyone who plays with Stable Diffusion knows the drill — same model, ye...

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Introduction: When ChatGPT Prompt Engineering Becomes Hard Currency Folks, friends, fellow AI content creators—today we're diving into something substantial. I don't know if you've noticed, but in 202...

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Introduction: Why Does ChatGPT Feel "Not Smart Enough" to You? To be honest, I've been receiving a lot of direct messages from friends recently, and the complaints are strikingly consistent—"Obviously...

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Introduction: When AI Writing Meets Prompt Engineering, My Creative Efficiency Took Off Folks, seriously, since I dove into the world of AI writing, the biggest realization I've had is this—prompts ar...

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Introduction: When Stable Diffusion Prompt Engineering Becomes Essential, Choosing the Right Tool Gets Harder Hey folks, anyone who plays with AI art knows that with Stable Diffusion (SD for short), n...

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The 2026 Definitive Guide to a ChatGPT Prompt Engineering Side Hustle: Real Cases and Methodologies from Zero to 50,000 RMB a Month Folks, how many of you have scrolled past those posts claiming "I m...

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Introduction: When "Asking Questions" Becomes a Discipline Folks, have you ever had this experience? Using the same ChatGPT, some people can craft stunning proposals and generate beautiful code, while...

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Introduction: Why Is Your ChatGPT Always "Slacking Off"? Folks, let me be real with you for a second—have you ever found yourself in this situation? Others are using ChatGPT to draft proposals, build ...

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Introduction: From "Spell Novice" to "AI Magician" in Just 3 Days Folks, have you ever experienced that moment of utter frustration? You open Stable Diffusion, type in "a beautiful girl," and the out...

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Introduction: Why Does Your ChatGPT Sometimes Feel Like "Artificial Stupidity"? Folks, let's be honest for a second: when you use ChatGPT, do you often get the feeling that "this AI might be a bit dim...

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Mastering Stable Diffusion Prompt Engineering: Core Technical Principles and Advantage Analysis, with 5 Practical Application Demonstrations Hey everyone, if you're into AI art generation, you alread...

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Introduction: When AI Marketing Meets Prompt Engineering, Can Efficiency Really Triple? Honestly, if you've been in marketing these past two years and haven't touched AI, you'd almost be embarrassed t...

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Industry Background: Prompt Engineering Is Becoming the New "Door Opener" of the Era To be honest, if someone had told me two years ago that writing something like "please help me write a Xiaohongshu ...

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Zhang Fan, former COO of Zhipu AI and founder of Yuanli AI, draws on extensive experience serving government and enterprise clients to identify five common pitfalls in corporate AI implementation: impressive demos that fail upon official launch; "bottomless pit" fully customized deliveries that derail projects; project initiation based on subjective, unrealistic expectations of returns; a focus on technical deployment while neglecting business process re-engineering; and AI projects getting stuck in pilot phases without achieving large-scale rollout. These issues stem from three fundamental misconceptions: general-purpose large models do not equate to enterprise business capabilities; technical feasibility does not guarantee commercial returns; and success in a localized pilot does not ensure replicability across the entire organization. To address this, he proposes a progressive implementation roadmap—moving from conversational assistants and business support tools to automated workflows, AI agents, and finally, business operating systems—emphasizing the need to refine reusable business templates before scaling up to a company-wide rollout.

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Introduction: From "Following Trends" to "Taking Control" — AI Prompts Are the Real Dividing Line To be honest, the pace of AI development over the past two years has been faster than my phone upgrad...

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Introduction: Why Does Everyone Else Seem to Get Better Results from ChatGPT Than You Do? Let's be real for a moment. Have you ever scrolled through short videos and watched people use ChatGPT to writ...

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Introduction: Why Do Your AI Prompts Always Fall Short? Let's be honest—AI tools have exploded in popularity over the past couple of years. Especially since powerhouses like ChatGPT and Midjourney hit...

Landscaping Supervisor Skill

This skill is based on the domain-experts project on GitHub, aiming to transform human expert knowledge into AI agents. Specifically for the landscaping supervisor role, it provides a structured set of knowledge and instructions, enabling AI to simulate the decision-making, communication, and project management capabilities of a landscaping supervisor. Core functions include assisting with landscape design review, supervising construction progress and quality, managing teams and resources, and handling on-site issues. It is applicable to management scenarios in projects such as landscaping, municipal engineering, and private gardens, helping users improve supervision efficiency, reduce errors, and ensure projects meet design specifications and safety standards. With this skill, AI can act as a virtual supervisory assistant, offering professional advice and real-time feedback.

Elderly Care Escalation: Automated Risk Detection and Notification

The escalamiento skill in cuidavoz/elderly-care-engineering-app handles critical escalation scenarios in elderly care systems. When anomalies are detected (fall, abnormal vitals), it autonomously triggers escalation workflows, notifying caregivers, family, or medical services via SMS, calls, or app push. Leveraging event-driven agents, it logs all actions and supports configurable escalation paths. Ideal for smart elderly care in communities, homes, and nursing homes.

Medical Appliance Technician AI Agent: Domain Expert Skill for Equipment Maintenance and Support

This skill converts the expertise of medical appliance technicians into an AI agent, covering medical device maintenance, fault diagnosis, calibration procedures, and safety standards. Users can quickly access equipment operation guides, repair workflows, and industry regulations through the skill interface, ideal for medical equipment management, clinical engineering support, and technician training.