<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Sarvam &#8211; Firethering</title>
	<atom:link href="https://firethering.com/tag/sarvam/feed/" rel="self" type="application/rss+xml" />
	<link>https://firethering.com</link>
	<description>Firethering is Your Hub for AI, Open Source and Tech That Actually Matters</description>
	<lastBuildDate>Tue, 10 Mar 2026 13:28:49 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.6.5</generator>

<image>
	<url>https://firethering.com/wp-content/uploads/2024/10/cropped-firethering-FTR-favicon-32x32.png</url>
	<title>Sarvam &#8211; Firethering</title>
	<link>https://firethering.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Sarvam&#8217;s New Open Source Models Match GPT-OSS-120B and One Only Uses 2.4B Active Parameters</title>
		<link>https://firethering.com/sarvam-30b-105b-open-source-models/</link>
					<comments>https://firethering.com/sarvam-30b-105b-open-source-models/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Tue, 10 Mar 2026 13:10:30 +0000</pubDate>
				<category><![CDATA[AI Models]]></category>
		<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Sarvam]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5549</guid>

					<description><![CDATA[Sarvam built two models for two very different jobs. The 30B is a deployment model. It was designed to run fast, stay cheap, and handle real-time interactions without breaking a sweat. If you need an AI that can take a phone call in Hindi, understand a tool request mid-conversation, and respond before the user notices a delay, that's what the 30B was built for.]]></description>
		
					<wfw:commentRss>https://firethering.com/sarvam-30b-105b-open-source-models/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>How Sarvam AI Outscored Gemini in India&#8217;s Toughest Document Test</title>
		<link>https://firethering.com/how-sarvam-ai-outscored-gemini-in-indias-toughest-document-test/</link>
					<comments>https://firethering.com/how-sarvam-ai-outscored-gemini-in-indias-toughest-document-test/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sat, 14 Feb 2026 14:34:25 +0000</pubDate>
				<category><![CDATA[AI Models]]></category>
		<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Sarvam]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=4543</guid>

					<description><![CDATA[Google's spending billions training AI models. OpenAI's hiring armies of engineers. And somehow, a startup in Bengaluru just outperformed both of them.

Sarvam AI's new Vision model scored 84.3% on olmOCR-Bench—a brutal test that makes AI models read messy scanned documents, handwritten notes, and complex tables. Google Gemini 3 Pro got 80.2%. ChatGPT? A distant 69.8%.

If you're thinking "okay, cool benchmark, but who cares?"—fair. Here's why this matters: billions of documents across India are locked away in regional languages. Government records in Gujarati. Medical files in Tamil. Historical archives in Bengali. The big AI models can read these languages, but they mess up constantly—wrong characters, mangled words, useless output.

Sarvam doesn't. It's specifically trained on Indian scripts, and the results show. For the first time, Indian companies have an AI tool that can reliably digitize documents in 22 languages without sending everything to Google or OpenAI's servers.]]></description>
		
					<wfw:commentRss>https://firethering.com/how-sarvam-ai-outscored-gemini-in-indias-toughest-document-test/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
