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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Tech Commuter Podcast</title><link>https://www.spreaker.com/podcast/tech-commuter-podcast--6347625</link><description><![CDATA[Tech Commuter Podcast is a a podcast that uses AI to convert interesting technology topics (primarily related to Artificial Intelligence and Machine Learning) into audio content so that you can easily ingest it during the course of your busy life.]]></description><atom:link href="https://www.spreaker.com/show/6347625/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Technology</category><copyright>Copyright Tech Commuter</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7a058bcc45c4aa75ccd7ee8cea6e149b.jpg</url><title>Tech Commuter Podcast</title><link>https://www.spreaker.com/podcast/tech-commuter-podcast--6347625</link></image><lastBuildDate>Mon, 28 Oct 2024 16:36:57 +0000</lastBuildDate><itunes:author>Tech Commuter</itunes:author><itunes:owner><itunes:name>Tech Commuter</itunes:name><itunes:email>techcommuterpodcast@gmail.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7a058bcc45c4aa75ccd7ee8cea6e149b.jpg"/><itunes:subtitle>Tech Commuter Podcast is a a podcast that uses AI to convert interesting technology topics (primarily related to Artificial Intelligence and Machine Learning) into audio content so that you can easily ingest it during the course of your busy life.</itunes:subtitle><itunes:summary><![CDATA[Tech Commuter Podcast is a a podcast that uses AI to convert interesting technology topics (primarily related to Artificial Intelligence and Machine Learning) into audio content so that you can easily ingest it during the course of your busy life.]]></itunes:summary><itunes:category text="Technology"/><itunes:explicit>clean</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Research Paper Overview: Longformer</title><link>https://www.spreaker.com/episode/research-paper-overview-longformer--62364577</link><description><![CDATA[In today's episode we hear an overview of the research paper <a href="https://arxiv.org/abs/2004.05150" target="_blank" rel="noreferrer noopener">Longformer: The Long-Document Transformer</a> by Iz Beltagy, Matthew E. Peters, and Arman Cohan.<br /><br /><br />This podcast was generated for my personal learning and enrichment using Google's NotebookLM. It is distributed to my podcast as a way to share personal topics of interest with my listeners.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62364577</guid><pubDate>Mon, 14 Oct 2024 20:48:04 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62364577/longformer.mp3" length="2333601" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6/bdbb752d-5f6a-4bc1-ad3b-0efd8d5a60f6.vtt" type="text/vtt" language="en"/><itunes:author>Tech Commuter</itunes:author><itunes:subtitle>In today's episode we hear an overview of the research paper https://arxiv.org/abs/2004.05150 by Iz Beltagy, Matthew E. Peters, and Arman Cohan.


This podcast was generated for my personal learning and enrichment using Google's NotebookLM. It is...</itunes:subtitle><itunes:summary><![CDATA[In today's episode we hear an overview of the research paper <a href="https://arxiv.org/abs/2004.05150" target="_blank" rel="noreferrer noopener">Longformer: The Long-Document Transformer</a> by Iz Beltagy, Matthew E. Peters, and Arman Cohan.<br /><br /><br />This podcast was generated for my personal learning and enrichment using Google's NotebookLM. It is distributed to my podcast as a way to share personal topics of interest with my listeners.]]></itunes:summary><itunes:duration>584</itunes:duration><itunes:keywords>ai,attention,context,longformer,nlp,transformer</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7a058bcc45c4aa75ccd7ee8cea6e149b.jpg"/><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Research Paper Overview: Kolmogorov-Arnold Transformer</title><link>https://www.spreaker.com/episode/research-paper-overview-kolmogorov-arnold-transformer--62354051</link><description><![CDATA[This episode gives an overview of the research paper <a href="https://arxiv.org/abs/2409.10594" target="_blank" rel="noreferrer noopener">Kolmogorov-Arnold Transformer</a> by Xingyi Yang and Xinchao Wang. I've been wanting to understand this paper better for several weeks, and so I created this episode using Google's NotebookLM to understand the paper better.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62354051</guid><pubDate>Mon, 14 Oct 2024 02:27:23 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62354051/kolmogorov_arnold_transformer.mp3" length="14193205" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/97cb9ae8-2642-4eb0-bf29-2b5f9a139788/97cb9ae8-2642-4eb0-bf29-2b5f9a139788.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/97cb9ae8-2642-4eb0-bf29-2b5f9a139788/97cb9ae8-2642-4eb0-bf29-2b5f9a139788.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/97cb9ae8-2642-4eb0-bf29-2b5f9a139788/97cb9ae8-2642-4eb0-bf29-2b5f9a139788.vtt" type="text/vtt" language="en"/><itunes:author>Tech Commuter</itunes:author><itunes:subtitle>This episode gives an overview of the research paper https://arxiv.org/abs/2409.10594 by Xingyi Yang and Xinchao Wang. I've been wanting to understand this paper better for several weeks, and so I created this episode using Google's NotebookLM to...</itunes:subtitle><itunes:summary><![CDATA[This episode gives an overview of the research paper <a href="https://arxiv.org/abs/2409.10594" target="_blank" rel="noreferrer noopener">Kolmogorov-Arnold Transformer</a> by Xingyi Yang and Xinchao Wang. I've been wanting to understand this paper better for several weeks, and so I created this episode using Google's NotebookLM to understand the paper better.]]></itunes:summary><itunes:duration>888</itunes:duration><itunes:keywords>ai,kan,kolmorogov-arnold,llm,transformer</itunes:keywords><itunes:explicit>clean</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7a058bcc45c4aa75ccd7ee8cea6e149b.jpg"/><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
