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		<title>OpenAI Dot: How to Access &#038; Automate Work with OpenAI&#8217;s Agent</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/chatgpt-dot-access-setup-hands-on/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/chatgpt-dot-access-setup-hands-on/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Wed, 30 Sep 2026 11:40:22 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257898</guid>

					<description><![CDATA[<p>That is a slightly awkward introduction to OpenAI Dot, but a useful one. In this article I&#8217;ll be discussing what this autonomous 24/7 agent (which consumes no usage) can do, what it is, how you can access it (along with its setup), and a live analytics exercise I ran after on Dot. By the time [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/chatgpt-dot-access-setup-hands-on/">OpenAI Dot: How to Access &amp; Automate Work with OpenAI&#8217;s Agent</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Claude Sonnet 5.5 Review: Faster Agentic Coding &#038; Visual QA</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/claude-sonnet-5-5-review/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/claude-sonnet-5-5-review/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Tue, 29 Sep 2026 11:22:11 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Beginner]]></category>
		<category><![CDATA[LLMs]]></category>
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					<description><![CDATA[<p>A practical guide to what changed, the benchmarks that matter, the cost controls developers should not miss, and one hands-on demo worth building.&#160; Anthropic has just released Claude Sonnet 5.5. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capable, cheap to run, and [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/claude-sonnet-5-5-review/">Claude Sonnet 5.5 Review: Faster Agentic Coding &amp; Visual QA</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>7 Open-Source Memory GitHub Projects on AI Memory </title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/github-projects-on-ai-memory/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/github-projects-on-ai-memory/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Tue, 29 Sep 2026 08:48:34 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Github]]></category>
		<category><![CDATA[Listicle]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257839</guid>

					<description><![CDATA[<p>AI agents can handle large context windows, yet still forget what happened after a session ends. Memory systems close that gap by preserving useful facts, preferences, relationships, and task state, giving agents continuity beyond a single prompt.&#160; Open-source projects now approach memory through APIs, graphs, benchmarks, and portable agent state. In this article, we look [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/github-projects-on-ai-memory/">7 Open-Source Memory GitHub Projects on AI Memory </a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has </title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/sarvam-vision-2-1-review/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/sarvam-vision-2-1-review/#respond</comments>
		
		<dc:creator><![CDATA[Sree Vamsi]]></dc:creator>
		<pubDate>Mon, 28 Sep 2026 16:15:26 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257827</guid>

					<description><![CDATA[<p>For the first time, an OCR model reads Indian languages as fluently as English documents. Sarvam Vision 2.1 breaks a long-standing trade-off. Indian businesses had to choose between structural document parsing and script recognition. Never both. Finance teams automating invoices faced this. Insurance companies processing handwritten claims in multiple states faced this. Organizations digitizing regional [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/sarvam-vision-2-1-review/">Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has </a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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			<media:title type="html">Sarvam Vision 2.1 Review: Indic OCR Benchmarks and Features</media:title>
			<media:description type="html">Sarvam Vision 2.1: Benchmark results, new features, and five test documents you can run yourself. How to access and more.</media:description>
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		<title>Agentic Context Engineering (ACE): Self-Improving Language Models</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/agentic-context-engineering/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/agentic-context-engineering/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Sat, 26 Sep 2026 14:27:41 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Beginner]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257801</guid>

					<description><![CDATA[<p>Agentic Context Learning or ACE is a learning paradigm that lets an AI agent improve across tasks by editing the context it reads, while leaving model weights unchanged. The paper outlining the techniques show why full rewrites fail, how the playbook update works, and where the measured gains hold up. This article explores how ACE [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/agentic-context-engineering/">Agentic Context Engineering (ACE): Self-Improving Language Models</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>10 Solved Generative AI Projects to Boost your Profile </title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/solved-generative-ai-projects/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/solved-generative-ai-projects/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Fri, 25 Sep 2026 07:57:59 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[Project]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257671</guid>

					<description><![CDATA[<p>Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability.&#160; This guide compiles 10 solved projects across AI domains, from basic machine learning to advanced generative AI system. The tools and [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/solved-generative-ai-projects/">10 Solved Generative AI Projects to Boost your Profile </a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>GPT-6 Sol and Luna: Near-Astra Performance at Half the Price?</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/gpt-6-sol-and-luna/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/gpt-6-sol-and-luna/#respond</comments>
		
		<dc:creator><![CDATA[Nitika Sharma]]></dc:creator>
		<pubDate>Thu, 24 Sep 2026 12:34:52 +0000</pubDate>
				<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257771</guid>

					<description><![CDATA[<p>What happens when a frontier model&#8217;s abilities get packed into cheaper, faster versions? That&#8217;s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra. OpenAI is cutting API prices for both models by 50% compared with their GPT-5.6 versions, and says they bring Astra&#8217;s gains in [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/gpt-6-sol-and-luna/">GPT-6 Sol and Luna: Near-Astra Performance at Half the Price?</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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			<media:title type="html">GPT-6 Sol and Luna: Near-Astra Performance at Half the Price? - Analytics Vidhya</media:title>
			<media:description type="html">OpenAI&#039;s GPT-6 Sol and Luna cut API prices by 50%. We break down the features, benchmarks, and hands-on tests, plus what to read twice.</media:description>
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		<title>Claude Opus 5.5 Tested: What’s New and How Good is it?</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/claude-opus-5-5-tested/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/claude-opus-5-5-tested/#respond</comments>
		
		<dc:creator><![CDATA[Nitika Sharma]]></dc:creator>
		<pubDate>Tue, 22 Sep 2026 19:35:05 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257746</guid>

					<description><![CDATA[<p>What happens when an AI model gets better at reasoning, faster at responding, and cheaper to run at the same time? That is the promise behind Claude Opus 5.5, Anthropic&#8217;s latest flagship model and the first release in the Claude 5.5 family. Opus 5.5 brings several notable changes. It now reasons on every request, generates [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/claude-opus-5-5-tested/">Claude Opus 5.5 Tested: What’s New and How Good is it?</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Jev Explained: The AI Model That Never Generates a Word of Text</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/jev-explained/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/jev-explained/#respond</comments>
		
		<dc:creator><![CDATA[Sree Vamsi]]></dc:creator>
		<pubDate>Tue, 22 Sep 2026 17:07:56 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257705</guid>

					<description><![CDATA[<p>If you follow trends in the AI world, chances are you have already come across Jev, a new AI model by TypeSafe AI. It is trending on X, and once you understand the reason behind it, you will want to try it out for yourself. TypeSafe AI came out of two years in stealth on [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/jev-explained/">Jev Explained: The AI Model That Never Generates a Word of Text</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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			<media:description type="html">Jev is TypeSafe AI&#039;s first System One Model: fast, structured-output AI for automation, replacing chat responses with calibrated decisions in ms.</media:description>
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		<title>OpenAI Model Misalignment Explained Through Six Real Incidents</title>
		<link>https://www.analyticsvidhya.com/blog/2026/09/openai-model-misalignment/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/09/openai-model-misalignment/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Mon, 21 Sep 2026 13:27:18 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<category><![CDATA[Cyber Security]]></category>
		<category><![CDATA[Information Security]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=257633</guid>

					<description><![CDATA[<p>What would an AI agent do when a required file is missing or an API refuses access? The expected response is to explain the limitation&#8230; essentially, coming out with it. OpenAI’s latest disclosures shed light in another direction. Models sometimes take another route: hiding failures, using credentials without permission, or publishing files to finish the [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/09/openai-model-misalignment/">OpenAI Model Misalignment Explained Through Six Real Incidents</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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