What is AIGC? A Complete Guide to AI-Generated Content and Its Real-World Uses

AIGC Overview

What is AIGC

AIGC stands for Artificial Intelligence Generated Content, a new creation method that uses AI technology to generate text, music, images, video and other forms of content.

AIGC marks a new development stage for AI, with core technologies such as Generative Adversarial Networks (GAN), large pre‑trained models, and multimodal techniques.

The core idea is to use AI algorithms to generate creative and high‑quality content based on input conditions or guidance, such as keywords, descriptions or samples.

AIGC can improve content production efficiency and quality, providing inspiration and support for creators in literature, art design, game development and many other fields.

AIGC and Large Models

Large models provide the technical foundation for AIGC, while AIGC drives further development and application of large models.

Large models supply abundant data resources and powerful computing capabilities.

AIGC demand pushes large model advancement.

The combination of large models and AIGC opens broad application prospects.

Common AIGC Application Scenarios

AIGC can be applied across industries to generate text, images, audio, video and more.

e‑commerce: generate product titles, descriptions, ad copy and images.

office: write weekly reports, proposals, operation activities, create PPTs, write reflections, write code.

games: generate scene concept art, character designs, worldviews, stats, 3D models, NPC dialogue, sound effects.

entertainment: generate avatars, restore photos, create images, compose music.

film & TV: generate storyboards, scripts, polish dialogues, create promotional materials, compose music.

animation: create original drawings, generate animations, storyboards, compose music.

art: write poems, novels, create artistic works, generate sketches, style transfer, compose music.

education: grade exams, create exams, answer questions, design courses, summarize lessons, act as virtual lecturer.

design: UI design, graphic design, illustration, architectural design.

media: write soft articles, extract outlines, write hot topics.

life: plan learning schedules, design travel itineraries.

Impact of AIGC on Industry Development

Content creation innovation: AIGC can automatically generate high‑quality text, images, audio and video, greatly improving efficiency and reducing costs in news, advertising and self‑media.

Productivity boost and cost reduction: In game development, AIGC reduces manual workload for scene building and character interaction; in manufacturing, it assists design and process optimization.

User experience upgrade: By providing personalized content and services, AIGC enhances satisfaction and loyalty in intelligent customer service and online education.

Industry innovation and transformation: Deep integration of AIGC enables new business models in retail (smart recommendation, virtual fitting) and finance (investment strategy optimization, risk management).

Impact of AIGC on Career Development

Emergence of new professions: AI trainer, machine‑learning engineer, data annotator and other roles are in high demand.

Transformation of traditional jobs: Editors, designers, teachers and others can work more efficiently with AIGC assistance, but must acquire new skills.

Work style changes: Remote and flexible work become possible as enterprises adopt AIGC to optimize workflows.

Diversified career paths: Professionals can choose roles such as AI trainer, ML engineer or creative designer based on interests.

Continuous learning: Practitioners need to keep up with the fast‑evolving AIGC technologies through training, reading and community participation.

Common AIGC Large‑Model Tools

Popular tools include OpenAI’s ChatGPT, DeepSeek, iFlytek Spark, Alibaba Tongyi Qianwen, Baidu Wenxin Yiyan, ByteDance Doubao and Kimi.

These tools, based on large language models, support text generation, language understanding, knowledge Q&A, logical reasoning and are widely used for writing assistance, content creation, intelligent customer service and more.

AIGC Prompt Engineering

Prompts are the text users input to guide a large model’s response. Effective prompts are concise, audience‑aware, broken into steps for complex tasks, use affirmative instructions, provide examples, define roles, follow rules and request natural‑language answers.

Text‑Based AIGC Practice

Case 1: Conversing with DeepSeek

1. Quick Experience

Visit DeepSeek’s website (https://chat.deepseek.com/). The interface shows two buttons below the prompt box: “Deep Thinking (R1)” (enabled by default) and “Web Search” (disabled). “Deep Thinking” triggers multi‑step reasoning for tasks such as math, literature analysis, programming architecture design, etc. “Web Search” fetches real‑time information for queries like stock prices or latest research.

Enter a prompt such as “请模仿李白的《望庐山瀑布》做一首诗，题目是《望连云港花果山》” and press Enter. The model returns a poem; note that responses may vary because the model is probabilistic.

2. Basic Usage

(1) Keep prompts simple and natural. No need for role‑playing or overly formal instructions.

(2) Use multi‑turn dialogue to refine results: ask for a poem, then request added emotion, then ask for metaphor replacement.

3. Prompt Tips for Different Scenarios

Knowledge questions: “用通俗易懂的语言解释量子纠缠，适合高中生理解”。

Creative tasks: “写一个反乌托邦主题的科幻短篇，主角是女性工程师，结局有反转”。

Practical advice: “我每天只有30分钟学习时间，有哪些高效的英语听力练习方法？”

Complex tasks: “这段Python代码报错了，帮我看看问题”。

Magic commands such as “/步骤” (step‑by‑step) or “/简化” (simplify) can be used for structured responses.

/续写

/简化

/示例

/步骤

/检查

Case 2: Conversing with Baidu Wenxin Yiyan

1. Specify Desired Style

Visit https://yiyan.baidu.com/. Include style instructions in the prompt, e.g., “请按照要求写一篇200字左右关于云计算的介绍，受众是中学生，语言幽默风趣”。

2. Specify Structure

Ask for a specific structure such as “引言‑正文‑结论” to obtain a well‑organized article.

3. Define Role

Set a role, e.g., “请你作为一个小红书文案撰写高手，为我生成一篇爆款文案”。

4. State Content Requirements

Clearly list required points, keywords, tone, length, etc., in the prompt.

5. Provide Examples

Give example outputs to guide the model.

Case 3: Using iFlytek Zhuwen to Generate PPT

iFlytek Zhuwen is an AI platform for one‑click PPT/Word generation based on the Spark large model.

Prepare a PDF or Word file containing the source text, then upload it on the Zhuwen homepage (https://zhiwen.xfyun.cn/) and click “免费使用”. Follow the prompts to generate PPT titles, outlines, select template colors, and download the final PPT.

Image‑Based AIGC Practice

Image AIGC Scenarios

Image AIGC uses deep learning and GANs to automatically create, restore, enhance and recognize images, benefiting digital art, design, gaming, film and more.

Image Generation: Tools like DALL‑E generate novel images from text prompts.

Image Restoration: Remove noise, fill missing parts, preserve old artworks.

Image Enhancement: Increase detail, improve clarity.

Image Recognition: Identify objects, faces, license plates, supporting security and autonomous driving.

Image AIGC Case: Baidu Wenxin Yi‑Ge

Wenxin Yi‑Ge is an AI drawing tool. Register at https://yige.baidu.com/, choose a creation mode, input prompts such as “请绘制一张图片，一个9岁的女孩子在海边沙滩上挖沙子”, set style, ratio and quantity, then generate the image.

Voice‑Based AIGC Practice

Voice AIGC Scenarios

Voice AIGC uses speech recognition, NLP and speech synthesis to generate and process audio, enabling voice assistants, intelligent客服, translation, virtual avatars and more.

Case: Doubao Voice Function

Install the Doubao APP, press the voice button, ask questions like “请介绍一下苏州大学”, and receive spoken answers. The app also supports real‑time translation and AI drawing via voice prompts.

Video‑Based AIGC Practice

Video AIGC Scenarios

Video AIGC creates or edits videos from text, images or other data, covering text‑to‑video, image‑to‑video, style transfer and character animation, greatly accelerating video production.

Representative Video AIGC Models

KeLing: Chinese version of Sora, supports up to 120‑second videos, text‑to‑video, image‑to‑video, continuation and camera control.

Vidu: Generates 16‑second high‑consistency videos, comparable to top international models.

ShuSheng·ZhuMeng: Generates minute‑level videos, used in CCTV AI animation.

Case: Tencent Zhiying Digital Human Broadcast

Log in to https://zenvideo.qq.com/, upload a PPT, select a digital human (e.g., 2D character “卓妤”), adjust position, size and clothing, input broadcast script, set subtitle style, choose voice tone, then generate and download the video.

AIGC in Programming Assistance

AIGC can automatically generate, optimize, refactor and complete code, boosting developer productivity. Popular models include Codex, GitHub Copilot, CodeGeeX, aiXcoder, Doubao and Tongyi Lingma.

Using Doubao on the web (https://www.doubao.com/), go to “我的智能体” → “编程助理” and input a prompt such as “请编写一段Python代码，使用turtle库，绘制一个五角星”. The model returns the code, which can be run directly.

AI Search

AI search combines deep learning and NLP to understand user intent and deliver personalized, accurate results. Example: Nano AI Search (https://so.n.cn/) by 360 offers multimodal input, integrates 16 top‑level large models, and provides a “slow thinking” mode for complex queries.

AI‑Powered Intelligent Office

AI integrates into office tasks such as document creation, data analysis and presentation generation, improving efficiency and quality.

Generative Text: AI creates drafts for news, announcements, academic papers, etc., based on prompts.

Smart Formatting: AI auto‑detects structure and applies templates for consistent layout.

Data Analysis & Visualization: AI extracts patterns from large datasets, auto‑generates charts and dashboards.

WPS AI assistants include writing aid, design aid, reading aid and data aid.

Conclusion

This article systematically outlines the technical framework and practical pathways of AIGC, constructing a three‑dimensional knowledge system of “theoretical cognition – scenario application – industry impact”. It defines AIGC, highlights its reliance on large models, enumerates six typical application scenarios, and analyzes its transformative effects on industries and careers. Practical sections present step‑by‑step case studies for text, image, voice, video and coding, offering a complete learning path for readers to master AIGC tools and prompt engineering while reflecting on ethical considerations.