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<h1 class="text-4xl md:text-5xl font-bold mb-6 text-indigo-700">Hugging Papers Daily Digest</h1> |
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<p class="text-xl md:text-2xl text-gray-600 max-w-3xl mx-auto"> |
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Your curated daily dose of the latest AI research papers from Hugging Face |
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<a href="#today" class="bg-indigo-600 hover:bg-indigo-700 text-white px-6 py-3 rounded-lg font-medium transition-colors"> |
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Today's Papers |
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How It Works |
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<span>Today's Top Papers</span> |
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<span>Why Use Hugging Papers?</span> |
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<h3 class="text-xl font-semibold mb-2">Daily Updates</h3> |
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<p class="text-gray-600">Get the latest papers delivered fresh every day, so you never miss important research.</p> |
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<h3 class="text-xl font-semibold mb-2">Curated Selection</h3> |
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<p class="text-gray-600">We filter through hundreds of papers to bring you only the most relevant and impactful ones.</p> |
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<h3 class="text-xl font-semibold mb-2">Easy to Digest</h3> |
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<p class="text-gray-600">Clear summaries and key insights help you quickly understand each paper's contributions.</p> |
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<span>How It Works</span> |
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<h3 class="text-2xl font-semibold mb-4">From Hugging Face to You</h3> |
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<span class="text-indigo-600 font-medium">1</span> |
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<h4 class="font-medium mb-1">Paper Collection</h4> |
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<p class="text-gray-600">We automatically gather the latest papers from Hugging Face's repositories.</p> |
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<h4 class="font-medium mb-1">AI Analysis</h4> |
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<p class="text-gray-600">Our system analyzes each paper to extract key insights and summaries.</p> |
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<span class="text-indigo-600 font-medium">3</span> |
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<h4 class="font-medium mb-1">Human Review</h4> |
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<p class="text-gray-600">Our team of experts reviews the automated summaries for accuracy.</p> |
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<div> |
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<h4 class="font-medium mb-1">Daily Delivery</h4> |
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<p class="text-gray-600">You receive a curated digest of the most important papers in your inbox.</p> |
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<img src="http://static.photos/technology/640x360/1" alt="AI Research Process" class="rounded-lg shadow-md w-full h-auto"> |
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document.addEventListener('DOMContentLoaded', () => { |
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feather.replace(); |
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const papers = [ |
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{ |
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title: "Efficient Transformers for Long Sequences", |
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authors: "Smith et al.", |
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summary: "A novel architecture that reduces the quadratic complexity of attention mechanisms while maintaining performance.", |
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date: "2023-11-15", |
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link: "#", |
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tags: ["NLP", "Efficiency"] |
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}, |
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{ |
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title: "Multimodal Learning with Limited Data", |
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authors: "Chen & Lee", |
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summary: "Techniques for training vision-language models when labeled data is scarce, achieving SOTA on several benchmarks.", |
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date: "2023-11-15", |
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link: "#", |
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tags: ["Multimodal", "Few-shot"] |
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}, |
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{ |
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title: "Robustness in Diffusion Models", |
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authors: "Johnson et al.", |
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summary: "Analysis of failure modes in diffusion models and methods to improve their reliability for critical applications.", |
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date: "2023-11-14", |
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link: "#", |
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tags: ["Generative", "Robustness"] |
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} |
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]; |
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const papersContainer = document.querySelector('#today .grid'); |
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papers.forEach(paper => { |
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const card = document.createElement('paper-card'); |
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card.setAttribute('title', paper.title); |
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card.setAttribute('authors', paper.authors); |
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card.setAttribute('summary', paper.summary); |
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card.setAttribute('date', paper.date); |
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card.setAttribute('link', paper.link); |
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card.setAttribute('tags', JSON.stringify(paper.tags)); |
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papersContainer.appendChild(card); |
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}); |
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}); |
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