Copy-ready prompt
{ "type": "Cute Educational Infographic Posters", "topic": "{argument name=\"headline text\" default=\"Training process of large language models\"}", "subtitle": "{argument name=\"subtitle text\" default=\"Learn from massive amounts of data and become a super chatty assistant!\"}", "style": { "overall": "Adorable Chinese science posters, a soft classroom infographic style, rounded corners, a cream-colored background, hand-drawn cartoon aesthetics, simple vector illustrations, and a warm and friendly educational tone.", "palette": [ "Cream", "Lavender Purple", "Sky blue", "Mint Green", "Yellow Orange", "pink", "Soft brown" ], "rendering": "High-quality flat illustrations with delicate shadows, clear Chinese typography, sticker-style decorations, stars, hearts, arrows, and speech bubbles." }, "layout": { "format": "Horizontal poster", "grid": { "rows": 2, "columns": 4, "count": 8 }, "sections": [ { "title": "1. Data Collection", "position": "Top left corner", "count": 1, "labels": [ "Web page", "news", "dialogue" ] }, { "title": "2. Data Preprocessing", "position": "Top row, second column", "count": 1, "labels": [ "The weather is so nice today!!", "The weather is really nice today!!" ] }, { "title": "3. Pre-training", "position": "Top row, third column", "count": 1, "labels": [ "Today's weather", "very good", "good", "?", "......" ] }, { "title": "4. Supervised Fine-tuning (SFT)", "position": "Top right corner", "count": 1, "labels": [ "Q: Why does the sun emit light?", "A: Because...", "Good answer!" ] }, { "title": "5. Reward Model Training (RM)", "position": "bottom row, first column", "count": 1, "labels": [ "Answer A is better!", "Answer B is so-so." ] }, { "title": "6. Reinforcement Learning (RLHF)", "position": "bottom row, second column", "count": 1, "labels": [ "Reward +1", "Punishment -1" ] }, { "title": "7. Evaluation and Testing", "position": "bottom row, third column", "count": 1, "labels": [ "Knowledge and Ability", "Reasoning ability", "Security", "stability" ] }, { "title": "8. Deployment and Application", "position": "bottom right corner", "count": 1, "labels": [ "chat", "Write code", "Writing articles" ] } ], "topDecorations": { "count": 4, "items": [ "The small flash in the upper left corner", "Pink confetti around the title", "The cute white mascot holding a star wand in the upper right corner", "A speech bubble that says \"Go for it!\"" ] }, "bottomDecorations": { "count": 4, "items": [ "The small white mascot wearing a bow tie in the bottom left corner", "Summary column containing 7 rounded squares and arrows", "Concluding remarks centered at the bottom", "A sticky note with encouraging words and a heart in the bottom right corner." ] } }, "characters": { "main mascots": { "count": 4, "types": [ "A round, white bear mascot with pink cheeks", "Small round robot with a dark face screen and green antenna", "A human teacher girl with a ponytail", "A furry white character holding a magnifying glass" ] }, "recurring_robot_design": "A short, cute robot with a rounded body, a light green and cream-colored shell, a dark blue facial display with glowing eyes, and tiny limbs." }, "sectionDetails": [ { "title": "1. Data Collection", "panelColor": "Lavender Purple", "scene": "A white mascot wearing a purple hat sits beside a pile of colorful books, using a laptop; floating rounded labels indicate the internet source.", "caption": "The more data you have, the more knowledge you gain!" }, { "title": "2. Data Preprocessing", "panelColor": "Sky blue", "scene": "The mascot, wearing a blue hat, swept the scattered scraps of paper into a bin; jumbled sentences were transformed into clearly structured text, complete with arrows.", "caption": "Transform the dirty and messy into a neat and tidy place." }, { "title": "3. Pre-training", "panelColor": "Mint Green", "scene": "The robot is reading an open green book, with speech bubbles around it displaying simple words and responses, suggesting a language learning process.", "caption": "Just like a child learning to speak!" }, { "title": "4. Supervised Fine-tuning (SFT)", "panelColor": "Golden yellow", "scene": "The teacher pointed to a labeled question-and-answer card, with a cute mascot listening attentively; emphasizing the high-quality question-and-answer pairs with manual annotations.", "caption": "Learning with a teacher leads to more reliable answers!" }, { "title": "5. Reward Model Training (RM)", "panelColor": "pink", "scene": "The robot stands between a green checkmark and a red cross, comparing the two answer options to determine which is better.", "caption": "Learn to \"choose the right answer\"!" }, { "title": "6. Reinforcement Learning (RLHF)", "panelColor": "Lavender Blue", "scene": "The robot holds tools, and the reward items display positive and negative score feedback with arrows.", "caption": "Encourage the good and correct the bad!" }, { "title": "7. Evaluation and Testing", "panelColor": "blue", "scene": "A furry, white-clad examiner stands next to a checklist with four green checkmarks, holding a magnifying glass.", "caption": "Comprehensive medical examination to ensure quality!" }, { "title": "8. Deployment and Application", "panelColor": "Soft pink", "scene": "Icons for applications such as chat, writing, code, and documents appeared around the robot, showcasing a real-world deployment scenario.", "caption": "Officially on duty, here to chat and write with you!" } ], "bottomSummary": { "title": "In summary:", "count": 7, "steps": [ "Laying a solid foundation for data collection", "Preprocessing and organizing data", "Pre-training knowledge", "Supervisory fine-tuning school answers", "Reward models learn to judge", "Reinforcement learning aligns with human preferences", "Evaluation and testing quality control" ], "closingText": "{argument name=\"closing sentence\" default=\"This is the growth path of the large language model from "knowing nothing" to "super learner"! ٩(๑^o^๑)۶\"}" }, "language": "Simplified Chinese", "quality": "Beautifully designed infographics suitable for social media posting, with a balanced layout, clear and easy-to-read Chinese text, an appealing style, and high shareability." }
Prompt breakdown
{ "type": "Cute Educational Infographic Posters", "topic": "{argument name=\"headline text\" default=\"Training process of large language models\"}", "subtitle": "{argument name=\"subtitle text\" default=\"Learn from massive amounts of data and become a super chatty assistant!\"}", "style": { "overall": "Adorable Chinese science posters, a soft classroom infographic style, rounded corners, a cream-colored background, hand-drawn cartoon aesthetics, simple vector illustrations, and a warm and friendly educational tone.", "palette": [ "Cream", "Lavender Purple", "Sky blue", "Mint Green", "Yellow Orange", "pink", "Soft brown" ], "rendering": "High-quality flat illustrations with delicate shadows, clear Chinese typography, sticker-style decorations, stars, hearts, arrows, and speech bubbles." }, "layout": { "format": "Horizontal poster", "grid": { "rows": 2, "columns": 4, "count": 8 }, "sections": [ { "title": "1.
Data Collection", "position": "Top left corner", "count": 1, "labels": [ "Web page", "news", "dialogue" ] }, { "title": "2.
Data Preprocessing", "position": "Top row, second column", "count": 1, "labels": [ "The weather is so nice today!!", "The weather is really nice today!!" ] }, { "title": "3.
Pre-training", "position": "Top row, third column", "count": 1, "labels": [ "Today's weather", "very good", "good", "?", "......" ] }, { "title": "4.










