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 <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neon Cortex - AI Training Dashboard</title>
<script src="https://cdn.tailwindcss.com"></script>
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&family=Share+Tech+Mono&display=swap">
<style>
:root {
--neon-cyan: #00f0ff;
--neon-magenta: #ff00f0;
--neon-amber: #ffb000;
--neon-lime: #a0ff00;
--dark-bg: #0a0a12;
--panel-bg: #12121a;
}
body {
font-family: 'Share Tech Mono', monospace;
background-color: var(--dark-bg);
color: white;
overflow-x: hidden;
}
.lcars-panel {
background-color: var(--panel-bg);
border-radius: 8px 8px 0 0;
border-left: 4px solid var(--neon-cyan);
position: relative;
overflow: hidden;
}
.lcars-panel::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 4px;
background: linear-gradient(90deg, var(--neon-cyan), var(--neon-magenta));
}
.lcars-title {
font-family: 'Orbitron', sans-serif;
font-weight: 700;
color: var(--neon-cyan);
text-shadow: 0 0 8px rgba(0, 240, 255, 0.6);
}
.status-light {
width: 12px;
height: 12px;
border-radius: 50%;
display: inline-block;
margin-right: 8px;
box-shadow: 0 0 8px currentColor;
}
.pulse {
animation: pulse 2s infinite;
}
@keyframes pulse {
0% { opacity: 0.6; }
50% { opacity: 1; }
100% { opacity: 0.6; }
}
.progress-bar {
height: 8px;
background: rgba(255, 255, 255, 0.1);
border-radius: 4px;
overflow: hidden;
}
.progress-fill {
height: 100%;
background: linear-gradient(90deg, var(--neon-magenta), var(--neon-cyan));
transition: width 0.5s ease;
}
.log-entry {
border-left: 2px solid var(--neon-amber);
padding-left: 8px;
margin-bottom: 4px;
font-size: 0.85rem;
}
.log-warning {
color: var(--neon-amber);
border-left-color: var(--neon-amber);
}
.log-error {
color: var(--neon-magenta);
border-left-color: var(--neon-magenta);
}
.log-success {
color: var(--neon-lime);
border-left-color: var(--neon-lime);
}
.grid-overlay {
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background:
linear-gradient(rgba(255,255,255,0.03) 1px, transparent 1px),
linear-gradient(90deg, rgba(255,255,255,0.03) 1px, transparent 1px);
background-size: 20px 20px;
pointer-events: none;
}
.glow-effect {
box-shadow: 0 0 15px rgba(0, 240, 255, 0.5);
}
.control-btn {
border: 1px solid var(--neon-cyan);
color: var(--neon-cyan);
background: rgba(0, 240, 255, 0.1);
transition: all 0.3s ease;
}
.control-btn:hover {
background: rgba(0, 240, 255, 0.3);
box-shadow: 0 0 10px rgba(0, 240, 255, 0.5);
}
.control-btn:active {
background: rgba(0, 240, 255, 0.5);
}
.data-sample {
border: 1px solid rgba(255, 255, 255, 0.1);
transition: all 0.3s ease;
}
.data-sample:hover {
border-color: var(--neon-lime);
box-shadow: 0 0 10px rgba(160, 255, 0, 0.3);
}
.chart-container {
position: relative;
height: 200px;
}
.chart-line {
fill: none;
stroke: var(--neon-cyan);
stroke-width: 2;
}
.chart-area {
fill: rgba(0, 240, 255, 0.1);
}
.heatmap-cell {
transition: all 0.3s ease;
}
.heatmap-cell:hover {
stroke: white;
stroke-width: 1px;
}
.ai-core {
position: relative;
width: 120px;
height: 120px;
border-radius: 50%;
background: radial-gradient(circle, rgba(0,240,255,0.1) 0%, rgba(0,240,255,0) 70%);
display: flex;
align-items: center;
justify-content: center;
}
.ai-core-inner {
width: 80px;
height: 80px;
border-radius: 50%;
background: radial-gradient(circle, rgba(0,240,255,0.2) 0%, rgba(0,240,255,0) 70%);
animation: rotate 20s linear infinite;
}
@keyframes rotate {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
.ai-core-pulse {
position: absolute;
width: 100%;
height: 100%;
border-radius: 50%;
background: radial-gradient(circle, rgba(0,240,255,0.4) 0%, rgba(0,240,255,0) 70%);
animation: pulse-core 3s infinite;
}
@keyframes pulse-core {
0% { transform: scale(0.8); opacity: 0; }
50% { transform: scale(1); opacity: 0.6; }
100% { transform: scale(1.2); opacity: 0; }
}
</style>
</head>
<body class="min-h-screen p-4">
<div class="grid-overlay fixed inset-0 z-0"></div>
<div class="container mx-auto relative z-10">
<!-- Header -->
<header class="flex justify-between items-center mb-6">
<div>
<h1 class="lcars-title text-3xl md:text-4xl">NEON CORTEX</h1>
<p class="text-gray-400">AI Training Core v2.3.7</p>
</div>
<div class="flex items-center">
<span class="status-light bg-green-500 pulse"></span>
<span>ONLINE</span>
</div>
</header>
<div class="grid grid-cols-1 lg:grid-cols-3 gap-4 mb-4">
<!-- System Status Panel -->
<div class="lcars-panel p-4 lg:col-span-1">
<h2 class="text-xl font-bold mb-4 text-cyan-400">SYSTEM STATUS</h2>
<div class="mb-4">
<div class="flex justify-between mb-1">
<span>Model: <span class="text-amber-400">Nova-7B</span></span>
<span class="text-lime-400">v2.3.7</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 68%" id="model-progress"></div>
</div>
<div class="flex justify-between text-xs mt-1">
<span>68% complete</span>
<span>ETA: 2h 17m</span>
</div>
</div>
<div class="space-y-3">
<div>
<div class="flex items-center">
<span class="status-light bg-cyan-500"></span>
<span>Dataset Processing</span>
</div>
<div class="ml-6 text-sm text-gray-300">Tokenizing sequences (batch 42/68)</div>
</div>
<div>
<div class="flex items-center">
<span class="status-light bg-amber-500"></span>
<span>Training Phase</span>
</div>
<div class="ml-6 text-sm text-gray-300">RLHF - Reward Model Optimization</div>
</div>
<div>
<div class="flex items-center">
<span class="status-light bg-magenta-500"></span>
<span>GPU Utilization</span>
</div>
<div class="ml-6 text-sm text-gray-300">4x A100 @ 87% load</div>
</div>
<div>
<div class="flex items-center">
<span class="status-light bg-lime-500"></span>
<span>Memory</span>
</div>
<div class="ml-6 text-sm text-gray-300">42GB/64GB allocated</div>
</div>
</div>
<!-- AI Core Visualization -->
<div class="mt-6 flex justify-center">
<div class="ai-core">
<div class="ai-core-pulse"></div>
<div class="ai-core-inner"></div>
<div class="absolute text-center">
<div class="text-xs">CORE</div>
<div class="text-xl font-bold">87%</div>
</div>
</div>
</div>
</div>
<!-- Training Visualizations -->
<div class="lcars-panel p-4 lg:col-span-2">
<h2 class="text-xl font-bold mb-4 text-magenta-400">TRAINING METRICS</h2>
<div class="grid grid-cols-1 md:grid-cols-2 gap-4">
<!-- Loss Curve -->
<div>
<h3 class="text-sm font-bold mb-2 text-amber-400">LOSS CURVE</h3>
<div class="chart-container">
<svg id="loss-chart" width="100%" height="100%"></svg>
</div>
</div>
<!-- Reward Heatmap -->
<div>
<h3 class="text-sm font-bold mb-2 text-lime-400">REWARD HEATMAP</h3>
<div class="chart-container">
<svg id="heatmap-chart" width="100%" height="100%"></svg>
</div>
</div>
<!-- Token Frequency -->
<div>
<h3 class="text-sm font-bold mb-2 text-cyan-400">TOKEN FREQUENCY</h3>
<div class="chart-container">
<svg id="token-chart" width="100%" height="100%"></svg>
</div>
</div>
<!-- Live Generation -->
<div>
<h3 class="text-sm font-bold mb-2 text-magenta-400">LIVE GENERATION</h3>
<div class="bg-black bg-opacity-30 p-3 rounded h-full">
<div class="text-xs font-mono whitespace-pre-wrap" id="live-generation">
[Generating sample output...]
<span class="text-amber-400">▋</span>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="grid grid-cols-1 lg:grid-cols-3 gap-4 mb-4">
<!-- Live Logs -->
<div class="lcars-panel p-4 lg:col-span-2">
<h2 class="text-xl font-bold mb-4 text-amber-400">TRAINING LOG</h2>
<div class="h-64 overflow-y-auto font-mono text-sm space-y-1" id="log-container">
<!-- Log entries will be added here by JavaScript -->
</div>
</div>
<!-- Model Controls -->
<div class="lcars-panel p-4">
<h2 class="text-xl font-bold mb-4 text-lime-400">MODEL CONTROLS</h2>
<div class="space-y-4">
<div class="flex space-x-2">
<button class="control-btn px-4 py-2 rounded flex-1" id="start-btn">
<span class="status-light bg-green-500"></span> START
</button>
<button class="control-btn px-4 py-2 rounded flex-1" id="pause-btn">
<span class="status-light bg-amber-500"></span> PAUSE
</button>
</div>
<div>
<label class="block text-sm mb-1">Learning Rate</label>
<input type="range" min="0.0001" max="0.01" step="0.0001" value="0.001"
class="w-full accent-cyan-500" id="lr-slider">
<div class="text-right text-xs" id="lr-value">0.001</div>
</div>
<div>
<label class="block text-sm mb-1">Batch Size</label>
<select class="w-full bg-gray-900 border border-gray-700 rounded px-3 py-2 text-sm focus:outline-none focus:ring-1 focus:ring-cyan-500">
<option>32</option>
<option selected>64</option>
<option>128</option>
<option>256</option>
</select>
</div>
<div class="pt-2">
<button class="control-btn w-full py-2 rounded">
<span class="status-light bg-magenta-500"></span> SAVE CHECKPOINT
</button>
</div>
<div class="border-t border-gray-700 pt-3">
<h3 class="text-sm font-bold mb-2">SYSTEM ACTIONS</h3>
<div class="flex space-x-2">
<button class="control-btn px-3 py-1 rounded text-xs flex-1">
DEBUG MODE
</button>
<button class="control-btn px-3 py-1 rounded text-xs flex-1">
EXPORT LOGS
</button>
</div>
</div>
</div>
</div>
</div>
<!-- Dataset Viewer -->
<div class="lcars-panel p-4 mb-4">
<h2 class="text-xl font-bold mb-4 text-magenta-400">DATASET VIEWER</h2>
<div class="grid grid-cols-2 md:grid-cols-4 lg:grid-cols-6 gap-4">
<!-- Dataset samples -->
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="1">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[TEXT PROMPT]</span>
</div>
<div class="text-xs truncate">"Design a futuristic UI for..."</div>
<div class="text-xxs text-gray-400">Batch 42 • 14:23:07</div>
</div>
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="2">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[PARAMETRIC SEQ]</span>
</div>
<div class="text-xs truncate">[0.42, 1.73, -0.15, ...]</div>
<div class="text-xxs text-gray-400">Batch 43 • 14:23:09</div>
</div>
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="3">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[SKETCH]</span>
</div>
<div class="text-xs truncate">Concept sketch #2871</div>
<div class="text-xxs text-gray-400">Batch 41 • 14:22:55</div>
</div>
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="4">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[CODE]</span>
</div>
<div class="text-xs truncate">function generateUI() {...}</div>
<div class="text-xxs text-gray-400">Batch 44 • 14:23:12</div>
</div>
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="5">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[3D MODEL]</span>
</div>
<div class="text-xs truncate">Component_A.stl</div>
<div class="text-xxs text-gray-400">Batch 40 • 14:22:48</div>
</div>
<div class="data-sample p-2 rounded cursor-pointer" data-sample-id="6">
<div class="bg-gray-800 h-24 mb-1 flex items-center justify-center text-xs">
<span class="text-center">[AUDIO]</span>
</div>
<div class="text-xs truncate">Voice command sample</div>
<div class="text-xxs text-gray-400">Batch 45 • 14:23:15</div>
</div>
</div>
<!-- Sample Detail View (hidden by default) -->
<div class="mt-4 hidden" id="sample-detail">
<div class="bg-black bg-opacity-30 p-4 rounded">
<div class="flex justify-between items-start mb-2">
<div>
<h3 class="font-bold" id="sample-title">Sample Title</h3>
<div class="text-xs text-gray-400" id="sample-meta">Batch 42 • 14:23:07 • Source: Dataset v3.2</div>
</div>
<button class="text-gray-400 hover:text-white" id="close-detail">&times;</button>
</div>
<div class="grid grid-cols-1 md:grid-cols-3 gap-4">
<div class="md:col-span-2">
<div class="bg-black p-3 rounded h-48 overflow-auto" id="sample-content">
Sample content will appear here
</div>
</div>
<div>
<h4 class="text-sm font-bold mb-2">MODEL INTERPRETATION</h4>
<div class="bg-black bg-opacity-30 p-3 rounded h-48 overflow-auto text-xs" id="sample-interpretation">
Model's interpretation of this sample will appear here
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
// Generate sample log entries
const logContainer = document.getElementById('log-container');
const logEntries = [
{msg: "Initializing Neon Cortex v2.3.7 training session", type: "info"},
{msg: "Loading dataset from /datastore/nova-7b/v3.2", type: "info"},
{msg: "Dataset contains 1,240,382 samples", type: "info"},
{msg: "WARNING: 12 samples failed validation checks", type: "warning"},
{msg: "Tokenizing input sequences...", type: "info"},
{msg: "Tokenized batch 1/68 (18,432 sequences)", type: "info"},
{msg: "Initializing RLHF reward model", type: "info"},
{msg: "ERROR: GPU 3 temperature threshold exceeded (82°C)", type: "error"},
{msg: "Cooling system engaged, temperature stabilized", type: "info"},
{msg: "Training epoch 1 started", type: "info"},
{msg: "Loss: 3.421 → 2.873 (improvement: 16%)", type: "success"},
{msg: "Checkpoint saved to /checkpoints/nova-7b/epoch1", type: "info"},
{msg: "Tokenized batch 42/68 (17,856 sequences)", type: "info"},
{msg: "Reward model updated with 4,296 new preference pairs", type: "info"},
{msg: "WARNING: Batch 43 contains irregular token distribution", type: "warning"},
{msg: "Compensating with dynamic attention scaling", type: "info"},
{msg: "Loss: 1.873 → 1.642 (improvement: 12.3%)", type: "success"},
];
function addLogEntry(entry) {
const logElement = document.createElement('div');
logElement.className = `log-entry log-${entry.type}`;
logElement.textContent = `[${new Date().toLocaleTimeString()}] ${entry.msg}`;
logContainer.appendChild(logElement);
logContainer.scrollTop = logContainer.scrollHeight;
}
// Add initial logs
logEntries.forEach((entry, index) => {
setTimeout(() => addLogEntry(entry), index * 800);
});
// Continue adding logs periodically
setInterval(() => {
const sampleLogs = [
{msg: "Processing batch " + (Math.floor(Math.random() * 68) + 1) + "/68", type: "info"},
{msg: "Loss: " + (Math.random() * 2 + 1).toFixed(3), type: "info"},
{msg: "Reward score: " + (Math.random() * 10).toFixed(2), type: "info"},
{msg: "Memory usage: " + (Math.random() * 20 + 40).toFixed(0) + "GB", type: "info"},
{msg: "Token frequency distribution updated", type: "info"},
{msg: "WARNING: Slight gradient spike detected", type: "warning"},
{msg: "Loss improved by " + (Math.random() * 15 + 5).toFixed(1) + "%", type: "success"},
];
addLogEntry(sampleLogs[Math.floor(Math.random() * sampleLogs.length)]);
}, 3000);
// Update progress bar
let progress = 68;
const progressBar = document.getElementById('model-progress');
setInterval(() => {
if (progress < 100) {
progress += Math.random() * 0.5;
progressBar.style.width = `${progress}%`;
document.querySelector('#system-status span:last-child').textContent = `${Math.floor(progress)}% complete`;
// Update ETA
const remaining = 100 - progress;
const hours = Math.floor(remaining / 30);
const minutes = Math.floor((remaining % 30) * 2);
document.querySelector('#system-status span:last-child').nextElementSibling.textContent = `ETA: ${hours}h ${minutes}m`;
}
}, 5000);
// Sample viewer interaction
const samples = document.querySelectorAll('.data-sample');
const sampleDetail = document.getElementById('sample-detail');
const sampleTitle = document.getElementById('sample-title');
const sampleMeta = document.getElementById('sample-meta');
const sampleContent = document.getElementById('sample-content');
const sampleInterpretation = document.getElementById('sample-interpretation');
const closeDetail = document.getElementById('close-detail');
const sampleData = {
1: {
title: "Text Prompt Sample",
meta: "Batch 42 • 14:23:07 • Source: Dataset v3.2",
content: `"Design a futuristic UI for an AI training system with LCARS-inspired elements and cyberpunk aesthetics. The interface should include:\n\n- Real-time training metrics\n- System status indicators\n- Dataset visualization\n- Model control panel\n\nFocus on creating an immersive experience that makes the user feel like they're monitoring a high-tech AI core."`,
interpretation: "This text prompt is designed to generate UI concepts for AI training systems. The model has associated this with:\n\n- 87% match to interface design tasks\n- 72% match to sci-fi aesthetic generation\n- 63% match to technical dashboard creation\n\nRecommended augmentation: Add parametric constraints for color scheme and layout requirements."
},
2: {
title: "Parametric Sequence",
meta: "Batch 43 • 14:23:09 • Source: RLHF Dataset v2.1",
content: `[0.42, 1.73, -0.15, 0.89, -1.22, 0.56, 1.98, -0.67, 0.31, -1.05, 0.77, 1.12, -0.89, 0.23, 1.45, -0.32, 0.91, 1.67, -0.78, 0.12]`,
interpretation: "This parametric sequence represents:\n\n- Reward model weights for the current RLHF phase\n- Dimension 1 (0.42): Importance of factual accuracy\n- Dimension 2 (1.73): Creativity multiplier\n- Dimension 3 (-0.15): Safety constraint\n\nSequence is within normal parameters but shows slightly elevated creativity weighting which may require monitoring."
},
3: {
title: "Concept Sketch",
meta: "Batch 41 • 14:22:55 • Source: Design Corpus v4.3",
content: "SKETCH DATA: [vector points...]\n\nRough concept sketch of a circular AI core visualization with pulsating rings and status indicators. Shows radial layout with:\n- Central core display\n- Surrounding metric panels\n- Glowing connection lines\n- Color-coded alert system",
interpretation: "Sketch matches 92% with successful UI designs from previous iterations. Key features detected:\n\n- Central focal point (optimal for attention)\n- Clear information hierarchy\n- Effective use of color coding\n\nRecommendation: Implement this layout for the system status overview panel with dynamic pulsing animation."
}
};
samples.forEach(sample => {
sample.addEventListener('click', () => {
const sampleId = sample.getAttribute('data-sample-id');
if (sampleData[sampleId]) {
sampleTitle.textContent = sampleData[sampleId].title;
sampleMeta.textContent = sampleData[sampleId].meta;
sampleContent.textContent = sampleData[sampleId].content;
sampleInterpretation.textContent = sampleData[sampleId].interpretation;
sampleDetail.classList.remove('hidden');
}
});
});
closeDetail.addEventListener('click', () => {
sampleDetail.classList.add('hidden');
});
// Control buttons
const startBtn = document.getElementById('start-btn');
const pauseBtn = document.getElementById('pause-btn');
startBtn.addEventListener('click', () => {
addLogEntry({msg: "Training resumed", type: "success"});
startBtn.querySelector('.status-light').classList.add('bg-green-500');
startBtn.querySelector('.status-light').classList.remove('bg-gray-500');
pauseBtn.querySelector('.status-light').classList.add('bg-amber-500');
pauseBtn.querySelector('.status-light').classList.remove('bg-gray-500');
});
pauseBtn.addEventListener('click', () => {
addLogEntry({msg: "Training paused", type: "warning"});
startBtn.querySelector('.status-light').classList.remove('bg-green-500');
startBtn.querySelector('.status-light').classList.add('bg-gray-500');
pauseBtn.querySelector('.status-light').classList.remove('bg-amber-500');
pauseBtn.querySelector('.status-light').classList.add('bg-gray-500');
});
// Learning rate slider
const lrSlider = document.getElementById('lr-slider');
const lrValue = document.getElementById('lr-value');
lrSlider.addEventListener('input', () => {
lrValue.textContent = lrSlider.value;
});
// Generate charts
function generateLossChart() {
const svg = document.getElementById('loss-chart');
svg.innerHTML = '';
const width = svg.clientWidth;
const height = svg.clientHeight;
const padding = 20;
// Create axes
const xAxis = document.createElementNS('http://www.w3.org/2000/svg', 'line');
xAxis.setAttribute('x1', padding);
xAxis.setAttribute('y1', height - padding);
xAxis.setAttribute('x2', width - padding);
xAxis.setAttribute('y2', height - padding);
xAxis.setAttribute('stroke', 'rgba(255,255,255,0.3)');
xAxis.setAttribute('stroke-width', '1');
svg.appendChild(xAxis);
const yAxis = document.createElementNS('http://www.w3.org/2000/svg', 'line');
yAxis.setAttribute('x1', padding);
yAxis.setAttribute('y1', padding);
yAxis.setAttribute('x2', padding);
yAxis.setAttribute('y2', height - padding);
yAxis.setAttribute('stroke', 'rgba(255,255,255,0.3)');
yAxis.setAttribute('stroke-width', '1');
svg.appendChild(yAxis);
// Generate loss curve data
const points = [];
for (let i = 0; i < 20; i++) {
points.push({
x: padding + (i * (width - padding * 2) / 20),
y: height - padding - (Math.random() * 0.7 + 0.3) * (height - padding * 2)
});
}
// Create area
let areaPath = `M${padding},${height - padding} `;
points.forEach(point => {
areaPath += `L${point.x},${point.y} `;
});
areaPath += `L${width - padding},${height - padding} Z`;
const area = document.createElementNS('http://www.w3.org/2000/svg', 'path');
area.setAttribute('d', areaPath);
area.setAttribute('fill', 'rgba(0, 240, 255, 0.1)');
svg.appendChild(area);
// Create line
let linePath = `M${points[0].x},${points[0].y} `;
points.slice(1).forEach(point => {
linePath += `L${point.x},${point.y} `;
});
const line = document.createElementNS('http://www.w3.org/2000/svg', 'path');
line.setAttribute('d', linePath);
line.setAttribute('fill', 'none');
line.setAttribute('stroke', '#00f0ff');
line.setAttribute('stroke-width', '2');
svg.appendChild(line);
// Add labels
const xLabel = document.createElementNS('http://www.w3.org/2000/svg', 'text');
xLabel.setAttribute('x', width - padding - 30);
xLabel.setAttribute('y', height - padding + 15);
xLabel.setAttribute('fill', 'rgba(255,255,255,0.6)');
xLabel.setAttribute('font-size', '10');
xLabel.textContent = 'Epochs';
svg.appendChild(xLabel);
const yLabel = document.createElementNS('http://www.w3.org/2000/svg', 'text');
yLabel.setAttribute('x', padding + 5);
yLabel.setAttribute('y', padding + 10);
yLabel.setAttribute('fill', 'rgba(255,255,255,0.6)');
yLabel.setAttribute('font-size', '10');
yLabel.textContent = 'Loss';
svg.appendChild(yLabel);
}
function generateHeatmap() {
const svg = document.getElementById('heatmap-chart');
svg.innerHTML = '';
const width = svg.clientWidth;
const height = svg.clientHeight;
const padding = 20;
const cellSize = 20;
const cols = Math.floor((width - padding * 2) / cellSize);
const rows = Math.floor((height - padding * 2) / cellSize);
for (let x = 0; x < cols; x++) {
for (let y = 0; y < rows; y++) {
const value = Math.random();
const color = value > 0.8 ? '#ff00f0' :
value > 0.6 ? '#ff00a0' :
value > 0.4 ? '#ff0060' :
value > 0.2 ? '#ff0020' : '#ff0000';
const rect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
rect.setAttribute('x', padding + x * cellSize);
rect.setAttribute('y', padding + y * cellSize);
rect.setAttribute('width', cellSize - 2);
rect.setAttribute('height', cellSize - 2);
rect.setAttribute('fill', color);
rect.setAttribute('class', 'heatmap-cell');
svg.appendChild(rect);
}
}
// Add labels
const xLabel = document.createElementNS('http://www.w3.org/2000/svg', 'text');
xLabel.setAttribute('x', width - padding - 30);
xLabel.setAttribute('y', height - padding + 15);
xLabel.setAttribute('fill', 'rgba(255,255,255,0.6)');
xLabel.setAttribute('font-size', '10');
xLabel.textContent = 'Reward Dim';
svg.appendChild(xLabel);
const yLabel = document.createElementNS('http://www.w3.org/2000/svg', 'text');
yLabel.setAttribute('x', padding + 5);
yLabel.setAttribute('y', padding + 10);
yLabel.setAttribute('fill', 'rgba(255,255,255,0.6)');
yLabel.setAttribute('font-size', '10');
yLabel.textContent = 'Samples';
svg.appendChild(yLabel);
}
function generateTokenChart() {
const svg = document.getElementById('token-chart');
svg.innerHTML = '';
const width = svg.clientWidth;
const height = svg.clientHeight;
const padding = 20;
const barCount = 10;
const barWidth = (width - padding * 2) / barCount - 5;
const tokens = [
{token: "Design", freq: 0.42},
{token: "System", freq: 0.38},
{token: "Model", freq: 0.35},
{token: "Neural", freq: 0.31},
{token: "Core", freq: 0.28},
{token: "Training", freq: 0.25},
{token: "Network", freq: 0.22},
{token: "Learning", freq: 0.19},
{token: "Deep", freq: 0.16},
{token: "AI", freq: 0.12}
];
// Create axes
const xAxis = document.createElementNS('http://www.w3.org/2000/svg', 'line');
xAxis.setAttribute('x1', padding);
xAxis.setAttribute('y1', height - padding);
xAxis.setAttribute('x2', width - padding);
xAxis.setAttribute('y2', height - padding);
xAxis.setAttribute('stroke', 'rgba(255,255,255,0.3)');
xAxis.setAttribute('stroke-width', '1');
svg.appendChild(xAxis);
const yAxis = document.createElementNS('http://www.w3.org/2000/svg', 'line');
yAxis.setAttribute('x1', padding);
yAxis.setAttribute('y1', padding);
yAxis.setAttribute('x2', padding);
yAxis.setAttribute('y2', height - padding);
yAxis.setAttribute('stroke', 'rgba(255,255,255,0.3)');
yAxis.setAttribute('stroke-width', '1');
svg.appendChild(yAxis);
// Create bars
tokens.forEach((token, i) => {
const barHeight = token.freq * (height - padding * 2);
const x = padding + i * (barWidth + 5);
const y = height - padding - barHeight;
const rect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
rect.setAttribute('x', x);
rect.setAttribute('y', y);
rect.setAttribute('width', barWidth);
rect.setAttribute('height', barHeight);
rect.setAttribute('fill', '#a0ff00');
svg.appendChild(rect);
const text = document.createElementNS('http://www.w3.org/2000/svg', 'text');
text.setAttribute('x', x + barWidth / 2);
text.setAttribute('y', height - padding + 15);
text.setAttribute('text-anchor', 'middle');
text.setAttribute('fill', 'rgba(255,255,255,0.6)');
text.setAttribute('font-size', '10');
text.textContent = token.token;
svg.appendChild(text);
});
// Add labels
const yLabel = document.createElementNS('http://www.w3.org/2000/svg', 'text');
yLabel.setAttribute('x', padding + 5);
yLabel.setAttribute('y', padding + 10);
yLabel.setAttribute('fill', 'rgba(255,255,255,0.6)');
yLabel.setAttribute('font-size', '10');
yLabel.textContent = 'Frequency';
svg.appendChild(yLabel);
}
// Generate live generation text
const liveGeneration = document.getElementById('live-generation');
const generationSamples = [
"Generating parametric design for orbital habitat module...",
"Analyzing structural integrity of generated components...",
"Optimizing material distribution for weight constraints...",
"Simulating stress points in microgravity environment...",
"Rendering 3D visualization of assembly sequence...",
"Calculating thermal properties of composite materials...",
"Generating assembly instructions for robotic construction...",
"Validating safety protocols against regulatory standards..."
];
setInterval(() => {
const sample = generationSamples[Math.floor(Math.random() * generationSamples.length)];
liveGeneration.textContent = sample + "\n";
// Add blinking cursor
const cursor = document.createElement('span');
cursor.className = 'text-amber-400';
cursor.textContent = '▋';
liveGeneration.appendChild(cursor);
// Randomly add progress indicator
if (Math.random() > 0.7) {
setTimeout(() => {
liveGeneration.textContent += "\n[Progress: " + (Math.random() * 40 + 10).toFixed(0) + "%]";
}, 500);
}
}, 4000);
// Initialize charts
generateLossChart();
generateHeatmap();
generateTokenChart();
// Make charts responsive
window.addEventListener('resize', () => {
generateLossChart();
generateHeatmap();
generateTokenChart();
});
</script>
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