<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: kooldeep7</title><link>https://news.ycombinator.com/user?id=kooldeep7</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 24 Sep 2026 16:43:14 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=kooldeep7" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by kooldeep7 in "Gemini 3.8 text-to-speech"]]></title><description><![CDATA[
<p>Set up billing before trying out anything? Not for me yet.</p>
]]></description><pubDate>Thu, 24 Sep 2026 04:31:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=49826272</link><dc:creator>kooldeep7</dc:creator><comments>https://news.ycombinator.com/item?id=49826272</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49826272</guid></item><item><title><![CDATA[New comment by kooldeep7 in "Ask HN: When is fine-tuning a small LLM worth it?"]]></title><description><![CDATA[
<p>that's a very good reason to try this!</p>
]]></description><pubDate>Wed, 23 Sep 2026 03:19:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=49811239</link><dc:creator>kooldeep7</dc:creator><comments>https://news.ycombinator.com/item?id=49811239</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49811239</guid></item><item><title><![CDATA[New comment by kooldeep7 in "Ask HN: When is fine-tuning a small LLM worth it?"]]></title><description><![CDATA[
<p>That seems interesting</p>
]]></description><pubDate>Wed, 23 Sep 2026 03:01:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=49811133</link><dc:creator>kooldeep7</dc:creator><comments>https://news.ycombinator.com/item?id=49811133</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49811133</guid></item><item><title><![CDATA[Ask HN: When is fine-tuning a small LLM worth it?]]></title><description><![CDATA[
<p>I'd be interested in hearing about your experiences. What kind of task did you use it for, what model did you train, and what were the results?<p>Feel free to share examples of what you've tried.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49807413">https://news.ycombinator.com/item?id=49807413</a></p>
<p>Points: 9</p>
<p># Comments: 13</p>
]]></description><pubDate>Tue, 22 Sep 2026 20:11:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=49807413</link><dc:creator>kooldeep7</dc:creator><comments>https://news.ycombinator.com/item?id=49807413</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49807413</guid></item><item><title><![CDATA[New comment by kooldeep7 in "How I Read Books"]]></title><description><![CDATA[
<p>True, you cannot absorb fiction when you're skimming a book.</p>
]]></description><pubDate>Tue, 25 Aug 2026 04:01:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=49428915</link><dc:creator>kooldeep7</dc:creator><comments>https://news.ycombinator.com/item?id=49428915</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49428915</guid></item></channel></rss>