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		<title>Opus 4.7 vs Opus 4.6: Should You Switch?</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/opus-4-7-vs-opus-4-6/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/opus-4-7-vs-opus-4-6/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Tue, 21 Apr 2026 06:35:06 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[GenAI Tools]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[Generative AI Application]]></category>
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					<description><![CDATA[<p>Turmoil has followed the launch of Claude&#8217;s new model. Opus 4.7, the younger sibling of Anthropic&#8217;s revolutionary Mythos, is the recent attempt by the company to go public with some of the capabilities of Mythos. Better agentic workflows, better memory, and better real-world tasks than the outgoing model, i.e., the Opus 4.6. That is what [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/opus-4-7-vs-opus-4-6/">Opus 4.7 vs Opus 4.6: Should You Switch?</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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			<media:title type="html">Opus 4.7 vs Opus 4.6: Should You Switch? - Analytics Vidhya</media:title>
			<media:description type="html">Claude Opus 4.7 is here with better coding and vision. But with soaring token costs and mixed reviews, is it time to switch? 4.7 vs 4.6.</media:description>
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		<title>Build Human-Like AI Voice App with Gemini 3.1 Flash TTS</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/ai-voice-app-with-gemini-3-1-flash-tts/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/ai-voice-app-with-gemini-3-1-flash-tts/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Mon, 20 Apr 2026 13:01:16 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Beginner]]></category>
		<category><![CDATA[GenAI Tools]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254062</guid>

					<description><![CDATA[<p>AI voice generation has a major problem. It works like a robot, reading a script phrase by phrase, with no feelings or emotions. It might be clever, but it matters less if there is no human feeling attached to it. The way the AI generates its voice makes it hard to feel like you&#8217;re having [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/ai-voice-app-with-gemini-3-1-flash-tts/">Build Human-Like AI Voice App with Gemini 3.1 Flash TTS</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>How to Structure a Claude Code Project that Thinks Like an Engineer </title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/claude-code-project-structure/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/claude-code-project-structure/#respond</comments>
		
		<dc:creator><![CDATA[Riya Bansal]]></dc:creator>
		<pubDate>Sun, 19 Apr 2026 08:18:03 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Command Line]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[LLMs]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253863</guid>

					<description><![CDATA[<p>Developers use Claude Code as an enhanced autocomplete system. They open a file, type a prompt, and hope for the best. The system produces decent output which sometimes reaches great quality. The output exhibits inconsistent results. The system loses track of context and repeats its initial errors.  The solution needs a more organized project, not [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/claude-code-project-structure/">How to Structure a Claude Code Project that Thinks Like an Engineer </a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Gemma 4 Tool Calling Explained: Build AI Agents with Function Calling (Step-by-Step Guide)</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/gemma-4-tool-calling/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/gemma-4-tool-calling/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Sat, 18 Apr 2026 17:26:42 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[GenAI Tools]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254003</guid>

					<description><![CDATA[<p>Imagine asking your AI model, &#8220;What&#8217;s the weather in Tokyo right now?&#8221; and instead of hallucinating an answer, it calls your actual Python function, fetches live data, and responds correctly. That&#8217;s how empowering the tool call functions in the Gemma 4 from Google are. A truly exciting addition to open-weight AI: this function calling is [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/gemma-4-tool-calling/">Gemma 4 Tool Calling Explained: Build AI Agents with Function Calling (Step-by-Step Guide)</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>Anthropic Launches Claude Opus 4.7 For &#8220;Most Difficult Tasks&#8221;</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/claude-opus-4-7/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/claude-opus-4-7/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 12:21:37 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[LLMs]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254027</guid>

					<description><![CDATA[<p>Artificial intelligence is rapidly developing. The minute we become accustomed to one breakthrough, another comes to shift our expectations. The new model, Claude Opus 4.7, that Anthropic introduced recently, is one such shift. The release tends to go beyond mere AI chatbots and makes AI a trusted, independent digital partner. Even for developers and professionals, [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/claude-opus-4-7/">Anthropic Launches Claude Opus 4.7 For &#8220;Most Difficult Tasks&#8221;</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>Top 28 Claude Shortcuts that will 10X your Speed</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/top-claude-shortcuts/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/top-claude-shortcuts/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 08:12:02 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[GenAI Tools]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253887</guid>

					<description><![CDATA[<p>Even though we know prompting matters, most people are still using Claude like a glorified Google search. Let me lead by example &#8211; &#8220;Summarise this into 3 sentences max.&#8221; Sounds familiar? Well, there may be nothing wrong in typing such a prompt, but truth be told, all these letters are good for an article like [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/top-claude-shortcuts/">Top 28 Claude Shortcuts that will 10X your Speed</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>GPT-5.4-Cyber: Why OpenAI is Keeping its Most Powerful Model Under Lock and Key</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/openai-announces-gpt-5-4-cyber-but-you-cant-get-it-just-yet/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/openai-announces-gpt-5-4-cyber-but-you-cant-get-it-just-yet/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Thu, 16 Apr 2026 17:27:34 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253959</guid>

					<description><![CDATA[<p>The question around AI, and I mean the pinnacle of AI, not your regular &#8220;write me an email&#8221;, is shifting. What used to be &#8220;what can it do for me?&#8221; has now become &#8220;who gets to use it?&#8221; We saw this recently with Anthropic&#8217;s Claude Mythos Preview &#8211; a supposed epitome of AI models that [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/openai-announces-gpt-5-4-cyber-but-you-cant-get-it-just-yet/">GPT-5.4-Cyber: Why OpenAI is Keeping its Most Powerful Model Under Lock and Key</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<item>
		<title>Google AI Studio Guide: Every Feature Explained</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/google-ai-studio-guide/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/google-ai-studio-guide/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Thu, 16 Apr 2026 11:09:20 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[LLMs]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253960</guid>

					<description><![CDATA[<p>If you’re still using a standard chatbot for your AI work, you’re missing a lot of features. And I mean a lot! AI Studio is the workshop offered by Google, designed for those who want to prototype, build, and deploy without needing a PhD in computer science. Whether you&#8217;re writing for an email, creating an [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/google-ai-studio-guide/">Google AI Studio Guide: Every Feature Explained</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">253960</post-id>
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		<title>Mastering Deep Agents: Context Engineering that Actually Works </title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/context-engineering-in-deep-agents/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/context-engineering-in-deep-agents/#respond</comments>
		
		<dc:creator><![CDATA[Harsh Mishra]]></dc:creator>
		<pubDate>Wed, 15 Apr 2026 17:10:37 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253821</guid>

					<description><![CDATA[<p>Deep Agents can plan, use tools, manage state, and handle long multi-step tasks. But their real performance depends on context engineering. Poor instructions, messy memory, or too much raw input quickly degrade results, while clean, structured context makes agents more reliable, cheaper, and easier to scale. This is why the system is organized into five [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/context-engineering-in-deep-agents/">Mastering Deep Agents: Context Engineering that Actually Works </a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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		<title>21 Computer Vision Projects from Beginner to Advanced (2026 Guide)</title>
		<link>https://www.analyticsvidhya.com/blog/2026/04/top-computer-vision-projects/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/04/top-computer-vision-projects/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Wed, 15 Apr 2026 12:33:31 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Listicle]]></category>
		<category><![CDATA[Project]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=253577</guid>

					<description><![CDATA[<p>Computer Vision remains one of the most commercially valuable areas in AI. Powering applications from autonomous driving to medical imaging and generative systems. But breaking into the field requires more than just theory! A strong portfolio of practical projects is what sets you apart. This guide features 21 Computer Vision projects, from foundational computer vision [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/04/top-computer-vision-projects/">21 Computer Vision Projects from Beginner to Advanced (2026 Guide)</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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