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rss.xml
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<?xml version='1.0' encoding='utf-8'?>
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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
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<channel>
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<title>Daily Papers</title>
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<link>https://huggingface.co/papers</link>
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<itunes:owner>
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<itunes:name>HF</itunes:name>
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<itunes:email>[email protected]</itunes:email>
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<itunes:image href="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/images/cover3.png" />
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<lastBuildDate>
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<item>
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<title>MiniMax-Speech Revolutionizes Text-to-Speech with Zero-Shot Voice Cloning</title>
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<description>MiniMax-Speech is a groundbreaking Text-to-Speech model that generates high-quality speech with near-indistinguishable human resemblance, achieving state-of-the-art results on multiple objective and subjective evaluation metrics. This innovative model introduces a learnable speaker encoder module, allowing for zero-shot voice cloning and exceptional speaker similarity in one-shot scenarios.</description>
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@@ -22,7 +30,7 @@
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<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav" length="9610844" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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-
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<item>
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<title>SEED-15VL – Smarter, Leaner, Sharper</title>
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<description>SEED-15VL mixes a compact vision encoder with a MOE language model to crush reasoning benchmarks. Trained with diverse data and verifiable rewards, it's a glimpse into efficient, real-world AI—with a few sci-fi vibes.</description>
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@@ -30,7 +38,7 @@
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<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav" length="8642560" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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-
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<item>
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<title>Step 1x3D – From Scrap Models to Masterpieces</title>
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<description>Today's episode dives into Step 1x3D, a new open-source method that cleans noisy 3D data, bridges 2D–3D generation, and rivals top proprietary tools. From mesh repair to texture-perfect diffusion, it's a major leap for 3D AI.</description>
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@@ -38,6 +46,6 @@
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<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav" length="7864320" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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</rss>
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<?xml version='1.0' encoding='utf-8'?>
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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
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<channel>
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<title>Daily Papers</title>
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<link>https://huggingface.co/papers</link>
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|
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<itunes:owner>
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<itunes:name>HF</itunes:name>
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<itunes:email>[email protected]</itunes:email>
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</itunes:owner>
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<itunes:image href="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/images/cover3.png" />
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<lastBuildDate>Fri, 16 May 2025 14:24:17 +0000</lastBuildDate>
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<item>
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<title>Beyond Emergent 'Aha!' Moments: Unlocking Reliable Reasoning in Large Models</title>
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<description>We explore a novel approach to boost the reliability and scalability of large reasoning models by explicitly aligning them with classical reasoning meta-abilities. Our three-stage pipeline improves performance by over 10% and enables domain-specific reinforcement learning from aligned checkpoints, demonstrating a scalable and dependable foundation for reasoning.</description>
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<pubDate>Fri, 16 May 2025 14:24:17 +0000</pubDate>
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<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/blob/main/podcasts/podcast-2025-05-16.wav" length="8727644" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/blob/main/podcasts/podcast-2025-05-16.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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</item>
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| 26 |
<item>
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| 27 |
<title>MiniMax-Speech Revolutionizes Text-to-Speech with Zero-Shot Voice Cloning</title>
|
| 28 |
<description>MiniMax-Speech is a groundbreaking Text-to-Speech model that generates high-quality speech with near-indistinguishable human resemblance, achieving state-of-the-art results on multiple objective and subjective evaluation metrics. This innovative model introduces a learnable speaker encoder module, allowing for zero-shot voice cloning and exceptional speaker similarity in one-shot scenarios.</description>
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<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav" length="9610844" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-15.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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+
</item>
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<item>
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| 35 |
<title>SEED-15VL – Smarter, Leaner, Sharper</title>
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| 36 |
<description>SEED-15VL mixes a compact vision encoder with a MOE language model to crush reasoning benchmarks. Trained with diverse data and verifiable rewards, it's a glimpse into efficient, real-world AI—with a few sci-fi vibes.</description>
|
|
|
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| 38 |
<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav" length="8642560" type="audio/wav" />
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<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-14.wav</guid>
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| 40 |
<itunes:explicit>false</itunes:explicit>
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+
</item>
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| 42 |
<item>
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| 43 |
<title>Step 1x3D – From Scrap Models to Masterpieces</title>
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| 44 |
<description>Today's episode dives into Step 1x3D, a new open-source method that cleans noisy 3D data, bridges 2D–3D generation, and rivals top proprietary tools. From mesh repair to texture-perfect diffusion, it's a major leap for 3D AI.</description>
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| 46 |
<enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav" length="7864320" type="audio/wav" />
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| 47 |
<guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-13.wav</guid>
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<itunes:explicit>false</itunes:explicit>
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</item>
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</channel>
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</rss>
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