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@@ -14,7 +14,17 @@
       <itunes:email>[email protected]</itunes:email>
       </itunes:owner>
     <itunes:image href="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/images/cover3.png" />
-    <lastBuildDate>Mon, 26 May 2025 17:40:37 +0000</lastBuildDate>
+    <lastBuildDate>Tue, 27 May 2025 17:15:54 +0000</lastBuildDate>
+    <item>
+      <title>"Breaking Language Barriers: Introducing Mutarjim, the Revolutionary Arabic-English Translation Model"</title>
+      <description>Discover the revolutionary new language model that's taking the world of machine translation by storm, with significantly improved accuracy and efficiency while simultaneously reducing computational costs and training requirements. In this episode, we'll explore the groundbreaking technology behind Mutarjim and introduce Tarjama-25, a new benchmark dataset designed to push the limits of Arabic-English translation evaluation.
+
+&lt;a href="https://huggingface.co/papers/2505.17894"&gt;[Read the paper on Hugging Face]&lt;/a&gt;</description>
+      <pubDate>Tue, 27 May 2025 17:15:54 +0000</pubDate>
+      <enclosure url="https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-27.wav" length="7642844" type="audio/wav" />
+      <guid>https://huggingface.co/spaces/fdaudens/podcast-jobs/resolve/main/podcasts/podcast-2025-05-27.wav</guid>
+      <itunes:explicit>false</itunes:explicit>
+      </item>
     <item>
       <title>Harnessing Semantic Insight with TabSTAR: Revolutionizing Tabular Learning</title>
       <description>TabSTAR marks a significant breakthrough in tabular data analysis, combining deep learning with language model capabilities to achieve state-of-the-art performance on classification tasks involving text features, and offers a pathway for further performance improvements.