<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: rohanrao123</title><link>https://news.ycombinator.com/user?id=rohanrao123</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 16 Apr 2026 05:47:53 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=rohanrao123" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by rohanrao123 in "Show HN: From Photos to Positions: Prototyping VLM-Based Indoor Maps"]]></title><description><![CDATA[
<p>Pretty cool! It reminded me of this work from NVIDIA Research - <a href="https://nvidia-ai-iot.github.io/remembr" rel="nofollow">https://nvidia-ai-iot.github.io/remembr</a> where they used VLMs and RAG on top of a real robot to navigate the Voyager campus in Santa Clara. You also might like the new OpenAI o3 models and how well they can play GeoGuessr ;)<p><a href="https://simonwillison.net/2025/Apr/26/o3-photo-locations" rel="nofollow">https://simonwillison.net/2025/Apr/26/o3-photo-locations</a>, 
<a href="https://news.ycombinator.com/item?id=43835044">https://news.ycombinator.com/item?id=43835044</a>,
<a href="https://www.astralcodexten.com/p/testing-ais-geoguessr-genius" rel="nofollow">https://www.astralcodexten.com/p/testing-ais-geoguessr-geniu...</a></p>
]]></description><pubDate>Tue, 08 Jul 2025 02:45:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=44496499</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=44496499</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44496499</guid></item><item><title><![CDATA[New comment by rohanrao123 in "Show HN: HelixDB – Open-source vector-graph database for AI applications (Rust)"]]></title><description><![CDATA[
<p>Absolutely, will DM you on X!</p>
]]></description><pubDate>Tue, 13 May 2025 22:16:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=43978364</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=43978364</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43978364</guid></item><item><title><![CDATA[New comment by rohanrao123 in "Show HN: HelixDB – Open-source vector-graph database for AI applications (Rust)"]]></title><description><![CDATA[
<p>Congrats on the launch! I'm one of the authors of that paper you cited, glad it was useful and inspiring to building this :) Let me know if we can support in any way!</p>
]]></description><pubDate>Tue, 13 May 2025 21:34:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=43977985</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=43977985</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43977985</guid></item><item><title><![CDATA[New comment by rohanrao123 in "Build a RAG Chatbot in 5 minutes [video]"]]></title><description><![CDATA[
<p>It provides the easiest and fastest way for developers to build retrieval-augmented generation (RAG) chatbots, without needing any local GPU setup. Code is on NVIDIA's GitHub and is ~100 lines of Python.</p>
]]></description><pubDate>Sun, 28 Jan 2024 17:07:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=39167632</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=39167632</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39167632</guid></item><item><title><![CDATA[Build a RAG Chatbot in 5 minutes [video]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=N_OOfkEWcOk">https://www.youtube.com/watch?v=N_OOfkEWcOk</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39167631">https://news.ycombinator.com/item?id=39167631</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Sun, 28 Jan 2024 17:07:46 +0000</pubDate><link>https://www.youtube.com/watch?v=N_OOfkEWcOk</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=39167631</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39167631</guid></item><item><title><![CDATA[New comment by rohanrao123 in "Shifting Gears: From Autonomous Vehicles to Generative AI"]]></title><description><![CDATA[
<p>I wanted to share a blog post I wrote, about transitioning teams in NVIDIA from working on self-driving, to working on generative AI and large language models (LLMs). I intend to post more frequently about applications of LLMs/GenAI in various domains, based on the work I am doing. Feedback on this post and suggestions on what I could write about are greatly appreciated!</p>
]]></description><pubDate>Sun, 07 Jan 2024 04:31:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=38898448</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=38898448</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38898448</guid></item><item><title><![CDATA[Shifting Gears: From Autonomous Vehicles to Generative AI]]></title><description><![CDATA[
<p>Article URL: <a href="https://wowelec.wordpress.com/2024/01/07/shifting-gears-from-autonomous-vehicles-to-generative-ai/">https://wowelec.wordpress.com/2024/01/07/shifting-gears-from-autonomous-vehicles-to-generative-ai/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38898447">https://news.ycombinator.com/item?id=38898447</a></p>
<p>Points: 1</p>
<p># Comments: 2</p>
]]></description><pubDate>Sun, 07 Jan 2024 04:31:51 +0000</pubDate><link>https://wowelec.wordpress.com/2024/01/07/shifting-gears-from-autonomous-vehicles-to-generative-ai/</link><dc:creator>rohanrao123</dc:creator><comments>https://news.ycombinator.com/item?id=38898447</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38898447</guid></item></channel></rss>