प्यारा चीनी टोकनाइजेशन इन्फोग्राफिक

A lovely, horizontally-oriented, hand-drawn scrapbook-style Chinese science infographic with a warm beige paper background, rounded borders, macaron-colored doodles, tape stickers, and small stars, creating a classroom notebook atmosphere. The top center features a prominent handwritten Chinese title: "What is Tokenization?", with the latter half in coral pink and the rest in dark brown. In the upper left corner is a Q-version Shiba Inu teacher character wearing a light yellow shirt and a blue tie, facing forward and holding a pointer upwards, with a speech bubble saying: "Let's learn about Tokenization today!" To the upper right is a cute blue square Token mascot labeled "TOKEN", smiling with rosy cheeks and small limbs, holding a magnifying glass; next to it is a speech bubble saying: "I'm Token! The more reasonable the segmentation, the smarter the model!" Near the right edge, add a hanging sticky note that says "Knowledge Point Collection" with a heart icon. Below the title, place a rounded dashed text box containing the definition: "Tokenization is the process of breaking down human-readable text into Tokens.", with the word "Token" highlighted in blue. Add a line of explanatory text below: "Let's look at different tokenization methods using "ProgrammerLeft" and "Artificial Intelligence" as examples:", with "ProgrammerLeft" highlighted in light blue and "Artificial Intelligence" highlighted in pink. The lower half contains 4 rounded macaron-colored panels arranged from left to right, each with a badge number and title. Panel 1 is mint green, titled "1 Word-level Tokenization", with the subtitle "Divide text according to complete semantics", containing 3 Token bubbles: "Programmer", "Left", "Artificial Intelligence". At the bottom of this panel, the Shiba Inu teacher shows a thumbs up, with a speech bubble saying: "Semantically complete and easy to understand!" Panel 2 is pale yellow, titled "2 Character-level Tokenization", with the subtitle "Split text character by character", containing 9 circular Token bubbles arranged in a row: "C", "h", "e", "n", "g", "r", "a", "m", "m", "e", "r", "L", "e", "f", "t", "r", "e", "n", "g", "i", "n", "t", "e", "l", "l", "i", "g", "e", "n", "c", "e"—presented in a compact grid format as individual characters from the example. At the bottom, the blue Token mascot holds a pencil, with a speech bubble saying: "The finest granularity, but the sequence will be very long~." Panel 3 is pale pink, titled "3 Subword Tokenization", with the subtitle "Divide by root words and prefixes", containing 5 Token bubbles: "program", "member", "Left", "artificial", "intelligence". At the bottom, the Shiba Inu teacher is thinking, with a paw to his mouth and a question mark above his head, with a speech bubble saying: "A compromise solution, often works well!" Panel 4 is pale blue, titled "4 Byte-level Tokenization", with the subtitle "Convert words into byte encoding and divide based on the converted content", showing 14 small circular code bubbles: "E7", "A8", "8B", "...", "66", "74", "E4", "BA", "BA", "E8", "83", "BD", "..." arranged in multiple rows like encoded bytes. At the bottom, the smiling blue Token mascot is shown again, with a speech bubble saying: "Suitable for handling any text!", next to a tiny light bulb doodle. At the very bottom, place a rounded banner note that says: "Different tokenization methods have their own advantages. In practical applications, the appropriate method will be selected based on the task and data!" The four panels use soft macaron green, yellow, pink, and blue, combined with dark brown handwritten fonts, delicate shadows, rounded shapes, and cute expressions. The overall composition is balanced, simple, and friendly, like a beautiful social media science poster.