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index.html
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width" />
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<title>My static Space</title>
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<link rel="stylesheet" href="style.css" />
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</head>
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<body>
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<div class="card">
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<p>
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Intel and Hugging Face are collaborating to push the state of the art
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in Machine Learning workloads efficiency and performance.
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</p>
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<a
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href="https://github.com/huggingface/optimum"
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class="block overflow-hidden group"
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>
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<div
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class="w-full h-40 object-cover mb-2 bg-indigo-100 rounded-lg flex items-center justify-center dark:bg-gray-900 dark:group-hover:bg-gray-850"
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>
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<img
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alt=""
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src="/blog/assets/25_hardware_partners_program/carbon_lpot_quantizer.png"
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class="w-40"
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/>
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</div>
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<div class="underline">Quantize Transformers with Intel Neural Compressor and Optimum</div>
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</a>
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<a href="https://huggingface.co/blog/bert-cpu-scaling-part-2" class="block overflow-hidden">
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<img
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alt=""
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src="/blog/assets/21_bert_cpu_scaling_part_1/imgs/numa_set.png"
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class="w-full h-40 object-cover mb-2 bg-gray-300 rounded-lg"
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/>
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<div class="underline">Scaling up BERT on CPU</div>
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</a>
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<a
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href="https://www.intel.com/content/www/us/en/artificial-intelligence/overview.html"
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class="block overflow-hidden group"
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>
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<div
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class="w-full h-40 object-cover mb-2 bg-gray-900 group-hover:bg-gray-850 rounded-lg flex items-start justify-start"
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>
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<img
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alt=""
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src="/blog/assets/35_bert_cpu_scaling_part_2/oneapi.jpg"
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class="w-44 p-4"
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/>
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</div>
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<div class="underline">Intel Artificial Intelligence Solutions</div>
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</a>
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<div>
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<p class="mb-2">
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Intel optimizes the most widely adopted and innovative AI software
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tools, frameworks, and libraries for Intel® architecture. Whether
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you are computing locally or deploying AI applications on a massive
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scale, your organization can achieve peak performance with AI
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software optimized for Intel Xeon Scalable platforms.
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</p>
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<p class="mb-2">
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Intel’s engineering collaboration with Hugging Face offers Data
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Scientists and Machine Learning Engineers state of the art performance
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when using state of the art Transformer models from training to
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production.
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</p>
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</div>
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</div>
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</body>
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</html>
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