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FoodDesert commited on 24 days ago

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-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
 </html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>Grounded Systems</title>
+<link rel="preconnect" href="https://fonts.googleapis.com">
+<link href="https://fonts.googleapis.com/css2?family=DM+Serif+Display:ital@0;1&family=DM+Mono:wght@300;400;500&display=swap" rel="stylesheet">
+<style>
+  :root {
+    --bg: #0e0f11;
+    --surface: #16181c;
+    --border: #2a2d33;
+    --text: #e8e9eb;
+    --muted: #6b7280;
+    --accent: #c8b89a;
+    --accent-dim: #6b5d47;
+    --green: #4ade80;
+    --tag-bg: #1e2025;
+  }
+  *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
+  body {
+    background: var(--bg);
+    color: var(--text);
+    font-family: 'DM Mono', monospace;
+    font-weight: 300;
+    min-height: 100vh;
+    padding: 0;
+    overflow-x: hidden;
+  }
+  /* Subtle noise texture overlay */
+  body::before {
+    content: '';
+    position: fixed;
+    inset: 0;
+    background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 256 256' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noise'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23noise)' opacity='0.03'/%3E%3C/svg%3E");
+    pointer-events: none;
+    z-index: 0;
+    opacity: 0.4;
+  }
+  .page {
+    position: relative;
+    z-index: 1;
+    max-width: 760px;
+    margin: 0 auto;
+    padding: 80px 32px 120px;
+  }
+  /* Header */
+  header {
+    margin-bottom: 72px;
+    opacity: 0;
+    animation: fadeUp 0.6s ease forwards;
+  }
+  .wordmark {
+    font-family: 'DM Serif Display', serif;
+    font-size: clamp(28px, 5vw, 42px);
+    letter-spacing: -0.02em;
+    color: var(--text);
+    line-height: 1;
+    margin-bottom: 6px;
+  }
+  .wordmark span {
+    color: var(--accent);
+    font-style: italic;
+  }
+  .tagline {
+    font-size: 11px;
+    letter-spacing: 0.18em;
+    text-transform: uppercase;
+    color: var(--muted);
+    margin-top: 14px;
+  }
+  /* Divider */
+  .rule {
+    width: 40px;
+    height: 1px;
+    background: var(--accent-dim);
+    margin: 28px 0;
+  }
+  /* Framing paragraph */
+  .framing {
+    font-size: 14px;
+    line-height: 1.8;
+    color: #9ca3af;
+    max-width: 580px;
+    opacity: 0;
+    animation: fadeUp 0.6s ease 0.15s forwards;
+  }
+  /* Projects section */
+  .section-label {
+    font-size: 10px;
+    letter-spacing: 0.22em;
+    text-transform: uppercase;
+    color: var(--accent-dim);
+    margin-bottom: 28px;
+    margin-top: 72px;
+    opacity: 0;
+    animation: fadeUp 0.6s ease 0.3s forwards;
+  }
+  /* Project cards */
+  .projects {
+    display: flex;
+    flex-direction: column;
+    gap: 2px;
+  }
+  .project {
+    background: var(--surface);
+    border: 1px solid var(--border);
+    padding: 28px 32px;
+    position: relative;
+    transition: border-color 0.2s ease, background 0.2s ease;
+    opacity: 0;
+    animation: fadeUp 0.5s ease forwards;
+    text-decoration: none;
+    color: inherit;
+    display: block;
+  }
+  .project:nth-child(1) { animation-delay: 0.4s; border-radius: 4px 4px 0 0; }
+  .project:nth-child(2) { animation-delay: 0.5s; border-radius: 0; }
+  .project:nth-child(3) { animation-delay: 0.6s; border-radius: 0 0 4px 4px; }
+  .project:hover {
+    border-color: var(--accent-dim);
+    background: #1a1c21;
+  }
+  .project:hover .project-arrow {
+    opacity: 1;
+    transform: translateX(0);
+  }
+  .project-header {
+    display: flex;
+    align-items: baseline;
+    justify-content: space-between;
+    gap: 16px;
+    margin-bottom: 10px;
+  }
+  .project-name {
+    font-family: 'DM Serif Display', serif;
+    font-size: 18px;
+    color: var(--text);
+    letter-spacing: -0.01em;
+  }
+  .project-arrow {
+    font-size: 12px;
+    color: var(--accent);
+    opacity: 0;
+    transform: translateX(-6px);
+    transition: opacity 0.2s ease, transform 0.2s ease;
+    flex-shrink: 0;
+  }
+  .project-desc {
+    font-size: 13px;
+    line-height: 1.7;
+    color: #6b7280;
+    margin-bottom: 18px;
+    max-width: 560px;
+  }
+  .project-desc strong {
+    color: #9ca3af;
+    font-weight: 400;
+  }
+  .project-tags {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 6px;
+  }
+  .tag {
+    font-size: 10px;
+    letter-spacing: 0.1em;
+    text-transform: uppercase;
+    color: var(--muted);
+    background: var(--tag-bg);
+    border: 1px solid var(--border);
+    padding: 3px 8px;
+    border-radius: 2px;
+  }
+  .stat {
+    display: inline-flex;
+    align-items: center;
+    gap: 5px;
+    font-size: 10px;
+    letter-spacing: 0.08em;
+    color: var(--green);
+    background: rgba(74, 222, 128, 0.06);
+    border: 1px solid rgba(74, 222, 128, 0.15);
+    padding: 3px 8px;
+    border-radius: 2px;
+  }
+  .stat::before {
+    content: '●';
+    font-size: 6px;
+  }
+  /* Footer */
+  footer {
+    margin-top: 80px;
+    padding-top: 28px;
+    border-top: 1px solid var(--border);
+    font-size: 11px;
+    color: var(--muted);
+    letter-spacing: 0.06em;
+    opacity: 0;
+    animation: fadeUp 0.5s ease 0.8s forwards;
+  }
+  @keyframes fadeUp {
+    from { opacity: 0; transform: translateY(14px); }
+    to   { opacity: 1; transform: translateY(0); }
+  }
+  @media (max-width: 480px) {
+    .page { padding: 48px 20px 80px; }
+    .project { padding: 22px 20px; }
+  }
+</style>
+</head>
+<body>
+<div class="page">
+  <header>
+    <div class="wordmark">Grounded <span>Systems</span></div>
+    <div class="tagline">Independent ML Research &amp; Engineering</div>
+    <div class="rule"></div>
+    <p class="framing">
+      Independent research and engineering work in retrieval systems, structured prediction,
+      and language-grounded generation. Projects focus on controlled-vocabulary mapping,
+      embedding-based retrieval, and constrained LLM output — applied to domains where
+      precision and reliability matter more than open-ended generation.
+    </p>
+  </header>
+  <div class="section-label">Projects</div>
+  <div class="projects">
+    <a class="project" href="https://huggingface.co/FoodDesert/Boring_Embeddings" target="_blank" rel="noopener">
+      <div class="project-header">
+        <div class="project-name">Boring Embeddings</div>
+        <div class="project-arrow">↗</div>
+      </div>
+      <p class="project-desc">
+        <strong>Negative textual inversion embeddings for generative image models.</strong>
+        Trained on community-engagement signals rather than manually curated defect lists —
+        capturing unnamed visual patterns associated with low-quality outputs that tag-based
+        approaches cannot express. Used as a default negative embedding in several popular
+        Stable Diffusion workflows.
+      </p>
+      <div class="project-tags">
+        <span class="stat">10M+ generations</span>
+        <span class="tag">Textual Inversion</span>
+        <span class="tag">Representation Learning</span>
+        <span class="tag">Generative Models</span>
+      </div>
+    </a>
+    <a class="project" href="https://huggingface.co/spaces/FoodDesert/Prompt_Squirrel_RAG" target="_blank" rel="noopener">
+      <div class="project-header">
+        <div class="project-name">Prompt Squirrel — Tag Retrieval System</div>
+        <div class="project-arrow">↗</div>
+      </div>
+      <p class="project-desc">
+        <strong>Retrieval-augmented system mapping natural language to a controlled vocabulary.</strong>
+        Three-stage pipeline: LLM query reformulation into tag-like search phrases,
+        HNSW approximate nearest-neighbor retrieval over fine-tuned FastText embeddings,
+        and constrained LLM selection that can only output valid vocabulary items —
+        eliminating hallucination of out-of-vocabulary terms entirely.
+        Embeddings fine-tuned via alias-augmentation: domain alias metadata is injected
+        as controlled noise during training, pulling misspellings and paraphrases toward
+        their canonical forms in embedding space. Context rescoring uses late fusion of
+        dense embedding similarity with a sparse TF-IDF signal derived from
+        tag co-occurrence pseudo-documents. Modular per-category LLM query strategies
+        run in parallel; listwise reranking chosen over pointwise specifically to enforce
+        consistency across the selected tag set. Generalizes to any domain requiring
+        unstructured-to-taxonomy mapping.
+      </p>
+      <div class="project-tags">
+        <span class="tag">Retrieval Pipeline</span>
+        <span class="tag">Constrained Generation</span>
+        <span class="tag">FastText · FAISS · HNSW</span>
+        <span class="tag">Late Fusion</span>
+        <span class="tag">Listwise LLM Reranking</span>
+        <span class="tag">Alias Augmentation</span>
+        <span class="tag">Co-occurrence Modeling</span>
+      </div>
+    </a>
+  </div>
+  <footer>
+    All work independently developed and deployed.
+  </footer>
+</div>
+</body>
 </html>