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kimsungwook commited on
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Update README.md

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  1. README.md +16 -41
README.md CHANGED
@@ -4,16 +4,6 @@
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  <head>
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  <meta charset="UTF-8">
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  <meta name="viewport" content="width=device-width, initial-scale=1.0">
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- <title>Dnotitia on Hugging Face</title>
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- <style>
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- body {
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- background-color: #f4f4f4;
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- font-family: Arial, sans-serif;
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- display: flex;
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- justify-content: center;
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- align-items: center;
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- min-height: 100vh;
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- margin: 0;
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  padding: 10px;
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  box-sizing: border-box;
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  }
@@ -21,10 +11,6 @@
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  .card {
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  background-color: white;
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  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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- border-radius: 12px;
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- padding: 20px;
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- width: 100%;
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- max-width: 1920px;
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  text-align: left;
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  box-sizing: border-box;
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  }
@@ -45,7 +31,7 @@
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  /* 이미지 비율 유지 */
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  }
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- .name {
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  font-size: 1.4em;
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  font-weight: bold;
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  color: #555;
@@ -63,10 +49,6 @@
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  .link {
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  background-color: #007bff;
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  color: white;
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- padding: 10px 20px;
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- text-decoration: none;
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- border-radius: 5px;
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- font-weight: bold;
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  display: inline-block;
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  transition: background-color 0.3s;
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  }
@@ -83,47 +65,40 @@
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  <img 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  We are shaping the future of AI by creating smarter data systems and enabling long-term memory in
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  Seahorse™ : a high-performance vector database
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  Meet a revolutionary vector database engineered for exceptional performance and efficiency. Powered by
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  Mnemos™ : Personal LLM
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  Discover Mnemos, a standalone system designed to efficiently run large language models (LLMs) on edge
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  DNA : Language Model
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  DNA is a state-of-the-art (SOTA) bilingual language model based on Llama architecture, specifically
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"
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  alt="Dnotitia Logo">
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  </div>
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+ <div class="title">
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  Leading the Industry with the First Integrated Hardware and Software LLM Solution for Maximum Efficiency
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  </div>
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  <div class="description">
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  We are shaping the future of AI by creating smarter data systems and enabling long-term memory in
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+ intelligent models. Our innovative solutions make AI more efficient and powerful, bringing us closer to the
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+ vision of personal AGI.
 
 
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  </div>
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+ <div class="title">
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  Seahorse™ : a high-performance vector database
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  </div>
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  <div class="description">
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  Meet a revolutionary vector database engineered for exceptional performance and efficiency. Powered by
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+ Dnotitia's proprietary Vector Data Processing Units (VDPU), Seahorse transforms complex data into actionable
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+ insights and processes them at unprecedented speeds. It seamlessly integrates with diverse data types,
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+ delivering accurate, real-time results that redefine what's possible in AI-driven data management.
 
 
 
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  </div>
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+ <div class="title">
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  Mnemos™ : Personal LLM
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  </div>
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+
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  <div class="description">
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  Discover Mnemos, a standalone system designed to efficiently run large language models (LLMs) on edge
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+ environments without the cloud. By leveraging Dnotitia’s LLM optimization and RAG technologies, Mnemos
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+ tackles the challenges of high AI costs and data security concerns, delivering powerful LLM services with
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+ minimal GPU/NPU resources—making it an ideal solution for efficient AI deployment at the edge.
 
 
 
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  </div>
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+ <div class="title">
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  DNA : Language Model
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  </div>
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  <div class="description">
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  DNA is a state-of-the-art (SOTA) bilingual language model based on Llama architecture, specifically
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+ optimized for Korean language understanding and generation, while also maintaining strong English
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+ capabilities.
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  </div>
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  </div>
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