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Dense vs MoE Neural Network Infographic

A technical infographic comparing Dense and Mixture of Experts (MoE) AI models with network diagrams and bullet points.

Prompt

{ "type": "infographic comparison diagram", "header": { "title": "Dense と MoE の違い" }, "layout": { "structure": "two main columns separated by a central VS badge, with a split footer at the bottom", "sections": [ { "position": "left column", "theme_color": "blue", "header": "Dense モデル", "subtitle": "全てのニューロンが活性化", "diagram": { "type": "fully connected neural network", "elements": [ "1 orange input node labeled 入力", "4 hidden layers with 4, 5, 4, and 2 nodes respectively", "nodes colored white, blue, and yellow", "dense intersecting connection lines between all adjacent nodes" ] }, "bullet_points": { "count": 2, "items": [ "全てのパラメータが使用", "計算コストが高い" ] } }, { "position": "right column", "theme_color": "orange", "header": "MoE モデル", "subtitle": "一部の専門家が選択的に活性化", "diagram": { "type": "mixture of experts network", "elements": [ "1 orange input node labeled 入力", "3 rectangular blocks labeled Expert 1, Expert 2, Expert 3", "1 yellow output node labeled 出力", "branching arrows connecting input to experts, and experts to output" ] }, "bullet_points": { "count": 2, "items": [ "一部のエキスパートのみ使用", "効率的でスケーラブル" ] } }, { "position": "center", "element": "red circular badge with text VS", "connections": "blue arrow pointing left, orange arrow pointing right" }, { "position": "footer left", "background": "light blue", "text": "Dense: すべての層が常時稼働し全パラメータを使用", "icon": "1 CPU chip graphic", "label": "高い消費電力" }, { "position": "footer right", "background": "light orange", "text": "MoE: 必要なエキスパートのみを動員", "icons": "2 circular graphics (orange arrows, blue lightning bolt)", "label": "低コスト・高効率" } ] } }

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