OpenZhenZhen AI 提示词画廊 · gpt-image-2.5 · image
萌系大模型训练图解
Illustrated Guide to Training Cute Large Models
A friendly educational infographic uses original mascots and a playful pipeline to explain data preparation, tokenization, pretraining, feedback tuning and generation without relying on real logos.
提示词 / Prompt
中文提示词
创作一张原创、可爱而清晰的教育信息图，解释大语言模型的训练过程。用一只圆润友善的机器人学习助手和一条色彩协调的视觉流程表示：数据收集与清洗、文本切分为令牌、模型阅读大量示例进行预训练、通过人类反馈进行调整、最后根据用户问题生成回答。每个阶段用简短清晰的中文标签和箭头连接，展示小纸片、令牌积木、神经网络星座、反馈对话气泡和发光回答卡片等视觉隐喻。扁平插画与轻微3D体积感结合，柔和蓝紫、珊瑚和奶油色调，干净浅色背景，层次分明、适合初学者阅读，文字保持少量且排版准确，无真实品牌、无虚构技术参数、无水印。
English prompt
Create an original cute and clear educational infographic explaining how a large language model is trained. Use a friendly rounded robot learning assistant and a coordinated visual pipeline for: collecting and cleaning data, splitting text into tokens, pretraining by reading many examples, adjustment through human feedback, and generating an answer from a user question. Connect each stage with arrows and short accurate English labels, using visual metaphors such as paper snippets, token blocks, a neural-network constellation, feedback dialogue bubbles and a glowing answer card. Combine clean flat illustration with subtle dimensional 3D volume, a soft blue-violet, coral and cream palette, a bright uncluttered background and strong beginner-friendly hierarchy. Keep text sparse and correctly typeset, use no real brands, invented technical numbers or watermark.
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