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| <div class="hero__eyebrow">BluePlanetAI</div> | |
| <h1>AI for Traditional Chinese text, retrieval, and knowledge workflows</h1> | |
| <p class="hero__lead"> | |
| BluePlanetAI is the Hugging Face organization for BluePlanet Inc., focused on text mining, | |
| semantic retrieval, generative AI integration, and practical knowledge applications in Traditional Chinese. | |
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| <a href="https://www.blueplanet.com.tw/" target="_blank" rel="noreferrer">Official Website</a> | |
| <a href="https://huggingface.co/BluePlanetAI/models" target="_blank" rel="noreferrer">Browse Models</a> | |
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| <div class="hero__aside-label">At A Glance</div> | |
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| <li>Traditional Chinese AI focus</li> | |
| <li>Semantic retrieval and text mining</li> | |
| <li>Practical model releases with clear usage notes</li> | |
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| <h2>關於藍星球</h2> | |
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| 藍星球資訊專注於人工智慧、文字探勘、語意分析與資料治理,致力於把複雜資訊轉化為可落地的決策支援能力。 | |
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| <ul> | |
| <li>AI 人工智慧與文字探勘</li> | |
| <li>語意檢索、資訊萃取與知識應用</li> | |
| <li>生成式 AI 解決方案</li> | |
| <li>開放資料整合與資料治理</li> | |
| </ul> | |
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| <h2>Background</h2> | |
| <p> | |
| Based on public information from BluePlanet's official website, the company combines AI, text-centric information processing, | |
| and production-oriented solution design for enterprise and knowledge-intensive workflows. | |
| </p> | |
| <ul> | |
| <li>Traditional Chinese language AI focus</li> | |
| <li>Text mining and semantic retrieval</li> | |
| <li>Knowledge-oriented AI systems</li> | |
| <li>Deployment-minded documentation and release practices</li> | |
| </ul> | |
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| <section class="metrics"> | |
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| <span class="metric__value">2</span> | |
| <span class="metric__label">Public BPVELA model lines</span> | |
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| <span class="metric__value">zh-Hant</span> | |
| <span class="metric__label">Primary language focus</span> | |
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| <span class="metric__value">RAG</span> | |
| <span class="metric__label">Retrieval-first application focus</span> | |
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| <h2>Featured Releases</h2> | |
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| <a class="card" href="https://huggingface.co/BluePlanetAI/BPVELA-E560M" target="_blank" rel="noreferrer"> | |
| <span class="card__tag">Accuracy-first</span> | |
| <h3>BPVELA-E560M</h3> | |
| <p>Traditional Chinese embedding and retrieval line built on multilingual-e5-large.</p> | |
| </a> | |
| <a class="card" href="https://huggingface.co/BluePlanetAI/BPVELA-G300M" target="_blank" rel="noreferrer"> | |
| <span class="card__tag">Efficiency-first</span> | |
| <h3>BPVELA-G300M</h3> | |
| <p>Traditional Chinese embedding and retrieval line built on embeddinggemma-300m.</p> | |
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| <h2>What We Publish Here</h2> | |
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| We publish selected open model artifacts with practical model cards, release notes, licensing context, and explicit upstream dependency notes. | |
| </p> | |
| <p> | |
| <strong>BPVELA</strong> stands for <strong>BluePlanet Vector Embedding & Language Alignment</strong>. | |
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| <h2>使用提醒</h2> | |
| <ul> | |
| <li><code>BPVELA-E560M</code> 建立於 <code>intfloat/multilingual-e5-large</code> 之上</li> | |
| <li><code>BPVELA-G300M</code> 建立於 <code>google/embeddinggemma-300m</code> 之上</li> | |
| <li>使用 <code>BPVELA-G300M</code> 前,請先確認你已取得上游 Gemma base model 的 gated access</li> | |
| </ul> | |
| <p>各模型的授權說明、載入方式與上游相依,請以各自 model card 為準。</p> | |
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| <h2>Contact</h2> | |
| <p><a href="https://www.blueplanet.com.tw/" target="_blank" rel="noreferrer">blueplanet.com.tw</a></p> | |
| <p><a href="https://huggingface.co/BluePlanetAI" target="_blank" rel="noreferrer">huggingface.co/BluePlanetAI</a></p> | |
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