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		<title>Hermes Agent Guide: What is it and How to Use it?</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/hermes-agent-guide/</link>
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		<dc:creator><![CDATA[Harsh Mishra]]></dc:creator>
		<pubDate>Tue, 12 May 2026 10:00:26 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Command Line]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254872</guid>

					<description><![CDATA[<p>AI agents are moving beyond simple command-line tools into systems that can plan, schedule, call tools, and run automated workflows. Nous Research’s Hermes Agent framework offers a self-hosted runtime for building advanced agents with state management, tool integration, and secure execution. It supports multi-step planning, background task control, and real-world automation beyond single-purpose coding assistants. [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/hermes-agent-guide/">Hermes Agent Guide: What is it and How to Use it?</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Top 10 LLM Research Papers of 2026</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/top-llm-research-papers-2026/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/top-llm-research-papers-2026/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Mon, 11 May 2026 11:24:00 +0000</pubDate>
				<category><![CDATA[LLMs]]></category>
		<category><![CDATA[Research Paper]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254901</guid>

					<description><![CDATA[<p>Large language models are no longer just about scale. In 2026, the most important LLM research is focused on making models safer, more controllable, and more useful as real-world agents. From persuasion risk and harmful-content mechanisms to tool-calling, temporal reasoning, and agent privacy, these papers show where LLM research is heading next. Here are the [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/top-llm-research-papers-2026/">Top 10 LLM Research Papers of 2026</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Agent Memory Patterns in Cognitive Science and AI Systems</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/ai-agent-memory-patterns/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/ai-agent-memory-patterns/#respond</comments>
		
		<dc:creator><![CDATA[Janvi Kumari]]></dc:creator>
		<pubDate>Sat, 09 May 2026 11:34:37 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254753</guid>

					<description><![CDATA[<p>Memory shapes how humans think and how AI agents act. Without it, an agent only responds to the current input; with it, it can keep context, recall past actions, and reuse useful knowledge. AI memory spans short-term, episodic, semantic, and long-term memory, each with different design trade-offs around storage, retention, retrieval, and control. In this [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/ai-agent-memory-patterns/">Agent Memory Patterns in Cognitive Science and AI Systems</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>10 AI Agents Every AI Engineer Must Build (with GitHub Samples)</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/build-ai-agents/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/build-ai-agents/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Fri, 08 May 2026 10:30:00 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Project]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254799</guid>

					<description><![CDATA[<p>If you’re an aspiring AI engineer looking to sharpen your skills, building AI agents is one of the most effective ways to get hands-on experience. AI agents represent practical applications of AI across domains, from personal assistants and recommendation systems to financial traders. Here are 10 AI agents every engineer should build. For each, you’ll [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/build-ai-agents/">10 AI Agents Every AI Engineer Must Build (with GitHub Samples)</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>23 Tips for Smart Claude Code Token Saving and Workflow Optimization</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/tips-for-claude-code-token-saving/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/tips-for-claude-code-token-saving/#respond</comments>
		
		<dc:creator><![CDATA[Harsh Mishra]]></dc:creator>
		<pubDate>Fri, 08 May 2026 08:21:19 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[Intermediate]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254658</guid>

					<description><![CDATA[<p>Using Claude Code in large projects can lead to skyrocketing token costs. A 2025 Stanford study reveals developers waste thousands of tokens daily, draining budgets as unchecked context limits pile up. By setting strict boundaries from the outset, teams can reduce costs without compromising code quality. Optimizing token usage and context window sizes early on [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/tips-for-claude-code-token-saving/">23 Tips for Smart Claude Code Token Saving and Workflow Optimization</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Feature Engineering with LLMs: Techniques &#038; Python Examples</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/feature-engineering-with-llms/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/feature-engineering-with-llms/#respond</comments>
		
		<dc:creator><![CDATA[Vipin Vashisth]]></dc:creator>
		<pubDate>Thu, 07 May 2026 13:58:14 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[LLMs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254741</guid>

					<description><![CDATA[<p>Feature engineering is the foundation of strong machine learning systems, but the traditional process is often manual, time-consuming, and dependent on domain expertise. While effective, it can miss deeper signals hidden in unstructured data such as text, logs, and user interactions. Large Language Models change this by helping machines understand language, extract meaning, and generate [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/feature-engineering-with-llms/">Feature Engineering with LLMs: Techniques &amp; Python Examples</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>ChatGPT is Now Inside Excel and Google Sheets: Here is How to Use it</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/chatgpt-in-excel-and-google-sheets/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/chatgpt-in-excel-and-google-sheets/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Thu, 07 May 2026 13:54:00 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<category><![CDATA[Excel]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254786</guid>

					<description><![CDATA[<p>AI technology is leapfrogging, yet that doesn&#8217;t mean we always want a revolutionary feature out of it. What most users would want more of are simple capabilities within AI that can help with their everyday tasks, whether in the office, at home, or anywhere else. On those lines, OpenAI may have just come up with [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/chatgpt-in-excel-and-google-sheets/">ChatGPT is Now Inside Excel and Google Sheets: Here is How to Use it</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
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		<title>Anthropic’s 10 AI Agents are Redefining Finance Work</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/claude-finance-solutions/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/claude-finance-solutions/#respond</comments>
		
		<dc:creator><![CDATA[Sarthak Dogra]]></dc:creator>
		<pubDate>Wed, 06 May 2026 16:37:12 +0000</pubDate>
				<category><![CDATA[AI Agents]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254697</guid>

					<description><![CDATA[<p>The headline may sound extreme here. Of course, Claude is not replacing CFOs tomorrow morning. But with the debut of Claude&#8217;s new Financial Services Solution by Anthropic, it has clearly moved to a new direction in the world of finance, one where AI does way more than crunch numbers or explain stuff. Think specific financial [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/claude-finance-solutions/">Anthropic’s 10 AI Agents are Redefining Finance Work</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">254697</post-id>
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		<title>Gemini API File Search: The Easy Way to Build RAG</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/gemini-api-file-search/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/gemini-api-file-search/#respond</comments>
		
		<dc:creator><![CDATA[Janvi Kumari]]></dc:creator>
		<pubDate>Wed, 06 May 2026 12:31:00 +0000</pubDate>
				<category><![CDATA[Beginner]]></category>
		<category><![CDATA[Generative AI]]></category>
		<category><![CDATA[Generative AI Application]]></category>
		<category><![CDATA[RAG]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=245738</guid>

					<description><![CDATA[<p>Building a RAG system just got much easier. Google&#8217;s File Search tool for the Gemini API now handles the heavy lifting of connecting LLMs to your data. Chunking, embedding, indexing are all managed for you. And with the latest update, it&#8217;s gone multimodal. You can now search through both text and images in a single [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/gemini-api-file-search/">Gemini API File Search: The Easy Way to Build RAG</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">245738</post-id>
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		<title>Top 10 Open-Source Libraries to Fine-Tune LLMs Locally</title>
		<link>https://www.analyticsvidhya.com/blog/2026/05/open-source-libraries-to-fine-tune-llm-locally/</link>
					<comments>https://www.analyticsvidhya.com/blog/2026/05/open-source-libraries-to-fine-tune-llm-locally/#respond</comments>
		
		<dc:creator><![CDATA[Vasu Deo Sankrityayan]]></dc:creator>
		<pubDate>Tue, 05 May 2026 10:30:00 +0000</pubDate>
				<category><![CDATA[Github]]></category>
		<category><![CDATA[Listicle]]></category>
		<category><![CDATA[LLMs]]></category>
		<guid isPermaLink="false">https://www.analyticsvidhya.com/?p=254630</guid>

					<description><![CDATA[<p>Fine-tuning LLMs has become much easier because of open-source tools. You no longer need to build the full training stack from scratch. Whether you want low-VRAM training, LoRA, QLoRA, RLHF, DPO, multi-GPU scaling, or a simple UI, there is likely a library that fits your workflow. Here are the best open-source libraries worth knowing for [&#8230;]</p>
<p>The post <a href="https://www.analyticsvidhya.com/blog/2026/05/open-source-libraries-to-fine-tune-llm-locally/">Top 10 Open-Source Libraries to Fine-Tune LLMs Locally</a> appeared first on <a href="https://www.analyticsvidhya.com">Analytics Vidhya</a>.</p>
]]></description>
		
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