feat: update docs and components, fix DLQ demo bug
This commit is contained in:
sanbuphy
@@ -3,11 +3,14 @@
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<!-- Timeline -->
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<div class="timeline-container">
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<div class="timeline-track"></div>
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<button
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v-for="(stage, index) in stages"
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<button
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v-for="(stage, index) in stages"
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:key="index"
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class="timeline-node"
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:class="{ active: currentStage === index, passed: currentStage > index }"
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:class="{
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active: currentStage === index,
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passed: currentStage > index
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}"
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@click="currentStage = index"
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>
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<div class="node-dot">
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@@ -26,7 +29,9 @@
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<div :key="currentStage" class="stage-content">
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<div class="header-section">
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<h3>
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<span class="stage-index">{{ indexToRoman(currentStage + 1) }}.</span>
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<span class="stage-index"
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>{{ indexToRoman(currentStage + 1) }}.</span
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>
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{{ stages[currentStage].title }}
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</h3>
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<p>{{ stages[currentStage].desc }}</p>
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@@ -51,9 +56,7 @@
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<span class="input-val">A: True</span>
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<span class="input-val">B: False</span>
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</div>
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<div class="gate-box">
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AND Rule
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</div>
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<div class="gate-box">AND Rule</div>
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<div class="output-val">Output: False</div>
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</div>
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<div class="math-note">If A and B then C</div>
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@@ -122,8 +125,12 @@
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<div class="app-canvas">
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<div class="impact-card">
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<div class="impact-icon">{{ stages[currentStage].icon }}</div>
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<div class="impact-title">{{ stages[currentStage].appTitle }}</div>
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<div class="impact-desc">{{ stages[currentStage].appDesc }}</div>
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<div class="impact-title">
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{{ stages[currentStage].appTitle }}
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</div>
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<div class="impact-desc">
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{{ stages[currentStage].appDesc }}
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</div>
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</div>
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</div>
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</div>
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@@ -152,7 +159,8 @@ const stages = [
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desc: 'AI started as "Symbolic AI". Scientists believed intelligence could be described by formal logic and rules. If we can write down all the rules of the world, a computer can be intelligent.',
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icon: '♟️',
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appTitle: 'Chess & Logic',
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appDesc: 'Programs could solve logic puzzles and play simple chess, but failed at "common sense" or recognizing a cat in a photo.'
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appDesc:
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'Programs could solve logic puzzles and play simple chess, but failed at "common sense" or recognizing a cat in a photo.'
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},
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{
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year: '1980s-1990s',
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@@ -161,7 +169,8 @@ const stages = [
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desc: 'The era of "Expert Systems". We tried to hard-code human expertise (e.g., medical diagnosis rules) into databases. Useful for specific domains, but brittle and hard to maintain.',
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icon: '🏥',
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appTitle: 'MYCIN / Deep Blue',
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appDesc: 'Systems that could diagnose blood infections or beat Garry Kasparov at chess (Deep Blue, 1997), but still lacked true learning capability.'
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appDesc:
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'Systems that could diagnose blood infections or beat Garry Kasparov at chess (Deep Blue, 1997), but still lacked true learning capability.'
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},
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{
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year: '2010s',
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@@ -170,7 +179,8 @@ const stages = [
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desc: 'The breakthrough of Neural Networks. Inspired by the human brain, computers learned patterns from massive data instead of being told rules. AlexNet (2012) changed everything.',
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icon: '🧠',
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appTitle: 'AlphaGo & FaceID',
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appDesc: 'AI learned to see (ImageNet), hear (Siri), and play Go (AlphaGo). It surpassed humans in specific perceptual tasks.'
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appDesc:
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'AI learned to see (ImageNet), hear (Siri), and play Go (AlphaGo). It surpassed humans in specific perceptual tasks.'
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},
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{
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year: '2020s+',
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@@ -179,7 +189,8 @@ const stages = [
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desc: 'The Transformer architecture allowed AI to understand context and generate new content. AI moved from "classifying" (is this a cat?) to "creating" (draw a cat).',
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icon: '✨',
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appTitle: 'ChatGPT & Midjourney',
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appDesc: 'AI that can write code, poetry, paint images, and reason across multiple domains. A step towards AGI (General Intelligence).'
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appDesc:
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'AI that can write code, poetry, paint images, and reason across multiple domains. A step towards AGI (General Intelligence).'
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}
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]
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</script>
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@@ -188,11 +199,13 @@ const stages = [
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.ai-evolution-demo {
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border-radius: 16px;
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background: var(--vp-c-bg);
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box-shadow: 0 8px 30px rgba(0,0,0,0.05);
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box-shadow: 0 8px 30px rgba(0, 0, 0, 0.05);
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border: 1px solid var(--vp-c-divider);
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overflow: hidden;
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margin: 2rem 0;
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
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font-family:
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-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial,
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sans-serif;
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}
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/* Reusing Timeline Styles from FrontendEvolutionDemo for consistency */
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@@ -230,8 +243,13 @@ const stages = [
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opacity: 0.6;
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}
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.timeline-node:hover { opacity: 0.9; }
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.timeline-node.active, .timeline-node.passed { opacity: 1; }
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.timeline-node:hover {
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opacity: 0.9;
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}
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.timeline-node.active,
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.timeline-node.passed {
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opacity: 1;
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}
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.node-dot {
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width: 16px;
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@@ -259,8 +277,14 @@ const stages = [
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transform: scale(1.3);
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box-shadow: 0 0 0 4px var(--vp-c-bg-soft);
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}
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.timeline-node.active .inner-dot { width: 8px; height: 8px; }
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.timeline-node.passed .node-dot { border-color: var(--vp-c-brand); background: var(--vp-c-brand); }
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.timeline-node.active .inner-dot {
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width: 8px;
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height: 8px;
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}
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.timeline-node.passed .node-dot {
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border-color: var(--vp-c-brand);
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background: var(--vp-c-brand);
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}
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.node-content {
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text-align: center;
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@@ -286,7 +310,10 @@ const stages = [
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}
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/* Content Area */
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.content-wrapper { padding: 2rem; min-height: 400px; }
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.content-wrapper {
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padding: 2rem;
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min-height: 400px;
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}
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.header-section {
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text-align: center;
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@@ -298,13 +325,26 @@ const stages = [
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.header-section h3 {
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font-size: 1.5rem;
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margin-bottom: 0.5rem;
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background: linear-gradient(120deg, #10b981, #3b82f6); /* Green to Blue for AI */
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background: linear-gradient(
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120deg,
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#10b981,
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#3b82f6
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); /* Green to Blue for AI */
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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.stage-index { color: var(--vp-c-text-3); -webkit-text-fill-color: var(--vp-c-text-3); margin-right: 0.5rem; font-weight: normal; }
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.header-section p { font-size: 1rem; color: var(--vp-c-text-2); line-height: 1.6; }
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.stage-index {
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color: var(--vp-c-text-3);
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-webkit-text-fill-color: var(--vp-c-text-3);
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margin-right: 0.5rem;
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font-weight: normal;
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}
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.header-section p {
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font-size: 1rem;
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color: var(--vp-c-text-2);
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line-height: 1.6;
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}
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/* Visualization */
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.visualization-grid {
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@@ -314,37 +354,60 @@ const stages = [
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align-items: stretch;
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}
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@media (max-width: 768px) { .visualization-grid { grid-template-columns: 1fr; } }
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@media (max-width: 768px) {
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.visualization-grid {
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grid-template-columns: 1fr;
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}
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}
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.mac-window {
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border-radius: 12px;
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border: 1px solid rgba(0,0,0,0.1);
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box-shadow: 0 10px 30px rgba(0,0,0,0.05);
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border: 1px solid rgba(0, 0, 0, 0.1);
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.05);
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overflow: hidden;
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display: flex;
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flex-direction: column;
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background: white;
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transition: transform 0.3s;
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}
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.mac-window:hover { transform: translateY(-5px); }
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.mac-window:hover {
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transform: translateY(-5px);
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}
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.concept-window { background: #f8fafc; }
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.app-window { background: white; }
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.concept-window {
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background: #f8fafc;
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}
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.app-window {
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background: white;
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}
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.window-bar {
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padding: 0.8rem 1rem;
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background: white;
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border-bottom: 1px solid rgba(0,0,0,0.05);
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border-bottom: 1px solid rgba(0, 0, 0, 0.05);
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display: flex;
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align-items: center;
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position: relative;
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}
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.traffic-lights { display: flex; gap: 6px; }
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.light { width: 10px; height: 10px; border-radius: 50%; }
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.light.red { background: #ff5f56; }
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.light.yellow { background: #ffbd2e; }
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.light.green { background: #27c93f; }
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.traffic-lights {
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display: flex;
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gap: 6px;
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}
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.light {
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width: 10px;
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height: 10px;
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border-radius: 50%;
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}
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.light.red {
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background: #ff5f56;
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}
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.light.yellow {
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background: #ffbd2e;
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}
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.light.green {
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background: #27c93f;
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}
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.window-title {
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position: absolute;
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@@ -356,7 +419,8 @@ const stages = [
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font-weight: 600;
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}
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.concept-canvas, .app-canvas {
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.concept-canvas,
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.app-canvas {
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padding: 2rem;
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flex: 1;
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display: flex;
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@@ -374,47 +438,197 @@ const stages = [
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text-align: center;
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background: white;
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}
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.input-group { display: flex; gap: 1rem; justify-content: center; margin-bottom: 0.5rem; font-family: monospace; }
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.gate-box { background: #334155; color: white; padding: 4px 10px; margin: 0.5rem 0; border-radius: 4px; }
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.math-note { margin-top: 1rem; font-family: monospace; color: #64748b; font-size: 0.8rem; }
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.input-group {
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display: flex;
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gap: 1rem;
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justify-content: center;
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margin-bottom: 0.5rem;
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font-family: monospace;
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}
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.gate-box {
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background: #334155;
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color: white;
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padding: 4px 10px;
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margin: 0.5rem 0;
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border-radius: 4px;
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}
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.math-note {
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margin-top: 1rem;
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font-family: monospace;
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color: #64748b;
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font-size: 0.8rem;
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}
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/* Expert Systems */
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.decision-tree { display: flex; flex-direction: column; align-items: center; gap: 1rem; }
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.tree-node { border: 1px solid #cbd5e1; padding: 6px 12px; border-radius: 20px; background: white; font-size: 0.8rem; }
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.tree-node.root { border-color: #3b82f6; color: #3b82f6; font-weight: bold; }
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.branches { display: flex; gap: 2rem; }
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.branch { display: flex; flex-direction: column; align-items: center; gap: 0.5rem; }
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.condition { font-size: 0.7rem; color: #64748b; background: #f1f5f9; padding: 2px 6px; border-radius: 4px; }
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.kb-note { margin-top: 1rem; font-size: 0.8rem; color: #64748b; font-style: italic; }
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.decision-tree {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 1rem;
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}
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.tree-node {
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border: 1px solid #cbd5e1;
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padding: 6px 12px;
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border-radius: 20px;
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background: white;
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font-size: 0.8rem;
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}
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.tree-node.root {
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border-color: #3b82f6;
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color: #3b82f6;
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font-weight: bold;
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}
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.branches {
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display: flex;
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gap: 2rem;
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}
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.branch {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 0.5rem;
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}
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.condition {
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font-size: 0.7rem;
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color: #64748b;
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background: #f1f5f9;
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padding: 2px 6px;
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border-radius: 4px;
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}
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.kb-note {
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margin-top: 1rem;
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font-size: 0.8rem;
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color: #64748b;
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font-style: italic;
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}
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/* Deep Learning */
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.neural-net { display: flex; gap: 2rem; align-items: center; position: relative; }
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.layer { display: flex; flex-direction: column; gap: 0.5rem; }
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.neuron { width: 12px; height: 12px; border-radius: 50%; background: #cbd5e1; border: 1px solid #94a3b8; }
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.layer.input .neuron { background: #93c5fd; }
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.layer.hidden .neuron { background: #fca5a5; }
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.layer.output .neuron { background: #86efac; }
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.connections { position: absolute; top: 0; left: 0; width: 100%; height: 100%; pointer-events: none; opacity: 0.2; }
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.connections line { stroke: #000; stroke-width: 1; }
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.dl-note { margin-top: 2rem; font-size: 0.8rem; color: #64748b; }
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.neural-net {
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display: flex;
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gap: 2rem;
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align-items: center;
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position: relative;
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}
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.layer {
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display: flex;
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flex-direction: column;
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gap: 0.5rem;
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}
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.neuron {
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width: 12px;
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height: 12px;
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border-radius: 50%;
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background: #cbd5e1;
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border: 1px solid #94a3b8;
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}
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.layer.input .neuron {
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background: #93c5fd;
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}
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.layer.hidden .neuron {
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background: #fca5a5;
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}
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.layer.output .neuron {
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background: #86efac;
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}
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.connections {
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position: absolute;
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||||
top: 0;
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||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
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pointer-events: none;
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opacity: 0.2;
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}
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.connections line {
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||||
stroke: #000;
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||||
stroke-width: 1;
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}
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.dl-note {
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margin-top: 2rem;
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||||
font-size: 0.8rem;
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||||
color: #64748b;
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}
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/* GenAI */
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.vis-genai { display: flex; flex-direction: column; gap: 1rem; align-items: center; width: 100%; }
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||||
.transformer-block { border: 2px solid #8b5cf6; border-radius: 8px; padding: 0.5rem; width: 120px; text-align: center; background: #f5f3ff; }
|
||||
.block-layer { border: 1px solid #ddd6fe; background: white; margin: 4px 0; padding: 4px; font-size: 0.7rem; border-radius: 4px; }
|
||||
.chat-sim { width: 100%; border: 1px solid #e2e8f0; border-radius: 8px; padding: 1rem; background: white; font-size: 0.8rem; }
|
||||
.msg { padding: 6px 10px; border-radius: 12px; margin-bottom: 0.5rem; max-width: 80%; }
|
||||
.msg.user { background: #eff6ff; margin-left: auto; color: #1e40af; }
|
||||
.msg.ai { background: #f0fdf4; margin-right: auto; color: #166534; }
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||||
.vis-genai {
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||||
display: flex;
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||||
flex-direction: column;
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||||
gap: 1rem;
|
||||
align-items: center;
|
||||
width: 100%;
|
||||
}
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.transformer-block {
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||||
border: 2px solid #8b5cf6;
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||||
border-radius: 8px;
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||||
padding: 0.5rem;
|
||||
width: 120px;
|
||||
text-align: center;
|
||||
background: #f5f3ff;
|
||||
}
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||||
.block-layer {
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||||
border: 1px solid #ddd6fe;
|
||||
background: white;
|
||||
margin: 4px 0;
|
||||
padding: 4px;
|
||||
font-size: 0.7rem;
|
||||
border-radius: 4px;
|
||||
}
|
||||
.chat-sim {
|
||||
width: 100%;
|
||||
border: 1px solid #e2e8f0;
|
||||
border-radius: 8px;
|
||||
padding: 1rem;
|
||||
background: white;
|
||||
font-size: 0.8rem;
|
||||
}
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||||
.msg {
|
||||
padding: 6px 10px;
|
||||
border-radius: 12px;
|
||||
margin-bottom: 0.5rem;
|
||||
max-width: 80%;
|
||||
}
|
||||
.msg.user {
|
||||
background: #eff6ff;
|
||||
margin-left: auto;
|
||||
color: #1e40af;
|
||||
}
|
||||
.msg.ai {
|
||||
background: #f0fdf4;
|
||||
margin-right: auto;
|
||||
color: #166534;
|
||||
}
|
||||
|
||||
/* Impact Card */
|
||||
.impact-card { text-align: center; }
|
||||
.impact-icon { font-size: 4rem; margin-bottom: 1rem; }
|
||||
.impact-title { font-size: 1.2rem; font-weight: bold; margin-bottom: 0.5rem; color: var(--vp-c-text-1); }
|
||||
.impact-desc { font-size: 0.9rem; color: var(--vp-c-text-2); line-height: 1.5; }
|
||||
.impact-card {
|
||||
text-align: center;
|
||||
}
|
||||
.impact-icon {
|
||||
font-size: 4rem;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
.impact-title {
|
||||
font-size: 1.2rem;
|
||||
font-weight: bold;
|
||||
margin-bottom: 0.5rem;
|
||||
color: var(--vp-c-text-1);
|
||||
}
|
||||
.impact-desc {
|
||||
font-size: 0.9rem;
|
||||
color: var(--vp-c-text-2);
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
/* Transitions */
|
||||
.fade-slide-enter-active, .fade-slide-leave-active { transition: all 0.4s ease; }
|
||||
.fade-slide-enter-from { opacity: 0; transform: translateY(20px); }
|
||||
.fade-slide-leave-to { opacity: 0; transform: translateY(-20px); }
|
||||
</style>
|
||||
.fade-slide-enter-active,
|
||||
.fade-slide-leave-active {
|
||||
transition: all 0.4s ease;
|
||||
}
|
||||
.fade-slide-enter-from {
|
||||
opacity: 0;
|
||||
transform: translateY(20px);
|
||||
}
|
||||
.fade-slide-leave-to {
|
||||
opacity: 0;
|
||||
transform: translateY(-20px);
|
||||
}
|
||||
</style>
|
||||
|
||||
Reference in New Issue
Block a user