LLM News and Articles

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Friday, 2025-05-30
23:10Understanding RAG Systems and the Emergence of GraphRAG
22:29An Overview of Multimodal Autonomous LLM Agents
22:03Graph-RAG Twitter Intelligence System: A Layman’s Guide to Social Media AI (with Technical Muscle)
21:50OpenAI Just Changed the Game: How Reinforcement Fine-Tuning Makes AI Learn Like a Pro
21:47From Zero to Deployed in 60 Seconds: Introducing the MCP-Cloud Deployment Platform
21:39Stepping into the “Advanced Large Language Model Agents, MOOC Spring” course this semester, has…
21:28From AI Skeptic to Design Leader: Embracing AI in the Atlassian Blaze Challenge
21:16Prompt Injection Attacks: A Growing Concern in AI Security
21:05The Generative AI Revolution: Moving Beyond Prediction to Pure Creation
20:46RLHF’s Journey from Concept to ChatGPT
20:20LLM SEO: How To Show Up in ChatGPT and AI Search Results
20:15Why I Don’t Use LLM Frameworks (and You Shouldn’t Either)
19:59Getting Started with LangChain: A Starter Guide
19:44Safety and Security in the Model Context Protocol (MCP)
19:22Mastering Claude 4 Prompt Engineering
18:46Anthropic CEO frets about 20% unemployment from AI, but economists are doubtful
18:33Revolutionizing Information Access: Exploring the Powerful Applications of LLMs and…
18:30Thou Shall Evaluate Outputs of Large Language Models (LLMs)
18:10One Prompt, Nine Models — My Weekend Tour of OpenAI’s Crowded Zoo
18:05Ad LLM Agent MOOC postmortem
18:05Was this Python written by a human or an AI? 7 signs to spot LLM-generated code
18:01Understanding the AI Stack: Transformers, Language Models, and LLMs
17:26The Convergence of LLM Agents and Cybersecurity: Breaking New Ground in Vulnerability Detection
17:02Del prompt a la respuesta: el poder de los Large Language Models
16:50Does reinforcement learning have something to do with the fact that LLMs work better if I threaten…
16:50LLMs, AI Workflows, and AI Agents
16:46🤯 The Best AI Agent Nobody Is Talking About
16:40How LLMs Help Virtual Don Juan Matus Speculate on The Apocalypse
16:36Supercharge Mistral-7B with GRPO Finetuning: A Beginner-Friendly Tutorial with Code
16:35Why I Don’t Use LLM Frameworks (and You Shouldn’t Either)
16:35Black Mirror — Common Programmer : The Emergence of A.I.
16:26Self-Rewarded Training (SRT): LLMs Self-Improving with Majority Vote ✨ (and the Risk of Hacking…
16:16Inside LLM Guard: The Ultimate Toolkit for Secure Language AI
16:02Espejos y Humo: IA y las Barbie’s de Buzzfeed
16:02Unlock the Potential of MCP in Gen AI
15:56Perplexity Labs
15:45Advanced Large Language Model Agents — Spring 2025
15:42Advanced Retrieval and Evaluation — Hybrid Search with miniCOIL using Qdrant and LangGraph
15:27Building AI Agents: A Beginner’s Guide to Llama Stack
14:54How do LLMs work?
14:46The Enemy Within: How AI is Weaponizing Your Code ⚔
14:19Understanding Quantization, LoRA, and QLoRA: A Simple Dive
14:11Essential AI Tools for Product Innovation: A Deep Dive
14:10Do LLMs need a DSM-5? :)
14:06Show HN: Open-source LLM-powered test automation library for mobile and web
14:05Perplexity Labs: State of whey protein 2025
14:01Unlock Your AI Journey: Learn RAG & Agentic AI Without Breaking the Bank!
13:39Anthropic CEO claims AI will cause mass unemployment in the next 5 years
13:22Your AI Isn’t Smart. It Just Obeys.
13:16LLMs Are the New Calculators — Even Though They Can’t Count
13:01Context Window: Why AI’s Memory Has a Limit
13:01OpenAI Can Stop Pretending
13:00Build a Multi-agent, AI-Powered SQL Query Generator
12:42How to Use Open-Source LLMs Safely: Best Practices and Tools
12:37From 0 to 1: My Journey into AI Agents
12:25Retool Agents: Where Natural Language Meets Operational Power
12:11AI Agents, Clearly Explained
12:07Prompt Engineering 101:
12:03MCP and RAG -No more Hallucinations
11:51Mistral Launches Agents API: The Developer’s Gateway to Next-Gen AI Agent Creation
11:39Notte-MCP: Browser Control for LLM Agents via the Model Context Protocol
11:20Comparing Large Language Models: Part II
11:13A New Milestone: My Third Google AI Exchange Course — Developing GenAI Apps with Gemini and…
11:12DeepSeek-R1–0528: A Reasoning Powerhouse That Rivals Closed-Source Giants
11:11KAChallenges Series 1: Classifying Math Problems — A Deep Dive into Math Meets NLP
10:56Debunking: GitHub MCP Exploited
10:46Why You Should Use Local Models
10:46DeepSeek’s Next-Gen AI Model Redefines Reasoning Accuracy and Trustworthiness
10:44Memory and Neutrality: How ChatGPT’s Memory Plays a Bigger Role Than We Think
10:42Mastering LLM Prompt Engineering: How to Speak AI’s Language for Better Results
10:18AI News Roundup — May 30, 2025
09:40DeepSeek’s New R1–0528: Performance Analysis and Benchmark Comparisons
08:57AI in Industrial Automation — How does it work — example
08:48Unlocking Advanced LLM Reasoning: Key Insights from a Leading MOOC
08:41AI might already be modelling consciousness
08:24Running LLMs Using 2 Laptops with WSL over Wifi
08:19The fallacy that “RAG completely prevents hallucinations.”
08:00Tool Calling for AI Agents — The Secret Behind Real-World Smart AI
07:24Enhancing AI Interactions Using Monkey Auth with MCP Server
07:18Reviving Monkey Auth: Integrating Generative AI with Local RAG-Powered Chat
07:02How I Automate Webscraping Using Just an AI Prompt
06:37How to Choose the Right Large Language Model (LLM) for Your Project
06:22AI Agent Discoverability
06:16Anthropic archives many of their reference MCP servers on GitHub
04:58How to Get ChatGPT, Perplexity & Claude to Quote You in 2025
04:58Strategies to Reduce AI Hallucinations
04:57AI Agents in Action : How J.P.
04:31White House releases health report written by LLM, with hallucinated citations
04:23The Magic Behind AI Actions: Tool & Function Calling Demystified
04:18Building the Universal AI Assistant: Google DeepMind’s Bold Leap with Gemini
03:53MarkItDown: An Indispensable Tool in Every Agent’s Toolkit
03:44Sarvam AI: India’s Quiet Revolution in Sovereign Artificial Intelligence
03:40The AI Financial Advisor: A Synthesis of LLM-Generated Guidance from DeepSeekr1–7b, Gemini 2.5
03:18Mengukur Kinerja Chatbot: 6 Benchmark Metrics yang Wajib Diketahui
03:03Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and Accuracy
02:45The Model Isn’t the Product — The Experience Is
02:40Vital Concepts of Prompt Engineering
02:23128k Local Code LLM Roundup: Devstral, Qwen3, Gemma3, Deepseek R1 0528 8B
02:15New Deepseek R1–0528 Update is INSANE
02:13Top AI Models in 2025 and Their Best Use Cases
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227