LLM News and Articles
Sunday, 2025-09-28 | ||||
06:58 | Day(9/100) Search-R1: How GRPO Trains LLMs to Search and Reason https://hexiao5886.medium.com/search-r1-how-grpo-trains-llms-to-search-and-reason-bbe4d350175a | |||
06:21 | Top 10 Local LLMs (2025): Context Windows, VRAM Targets, and Licenses Compared https://www.marktechpost.com/2025/09/27/top-10-local-llms-2025-context-windows-vram-targets-and-licenses-compared/ | |||
06:18 | Post-Training Large Language Models https://kaushikrohit4.medium.com/post-training-large-language-models-29f9028b1288 | |||
06:07 | Why Task-Based Evaluations Matter https://medium.com/inspire-otivate/why-task-based-evaluations-matter-aaca90bfe32d | |||
06:00 | 20 AI Concepts Every Beginner Should Know. https://medium.com/@shripadkhandare/20-ai-concepts-every-beginner-should-know-39edcab25304 | |||
05:40 | My Journey to Build an AI Meeting Summarizer https://medium.com/@tahermultani/my-journey-to-build-an-ai-meeting-summarizer-62c21ed31f83 | |||
05:37 | Tech Behind MegaLLMs #2: A Simple Guide to the Attention Mechanism https://medium.com/@iamanraghuvanshi/tech-behind-megallms-2-a-simple-guide-to-the-attention-mechanism-f6a1bb228585 | |||
05:32 | “Next-Gen Smart DB Query Builder: Robust, Accurate, and Typo-Free with Multi-Condition Handling” https://medium.com/@axithchoudhary18/next-gen-smart-db-query-builder-robust-accurate-and-typo-free-with-multi-condition-handling-2740ad236157 | |||
05:32 | The rise of large language models https://medium.com/inspire-otivate/the-rise-of-large-language-models-f556fbf29237 | |||
04:49 | Do people really make fun of accents? I’m feeling self-conscious after a presentation. https://liliane01.medium.com/do-people-really-make-fun-of-accents-im-feeling-self-conscious-after-a-presentation-ba739dda0170 | |||
04:25 | The Truth About Multi-Agent Debate: Majority Voting Is the Key https://ai-engineering-trend.medium.com/the-truth-about-multi-agent-debate-majority-voting-is-the-key-8ef8e6218e73 | |||
04:25 | Query Spelling Correction Overview https://medium.com/@xiaoyigu/query-spelling-correction-overview-dd19cbb4d47a | |||
04:25 | Tencent Hunyuan Open-Sources HunyuanImage 3.0: An 80-Billion-Parameter Text-to-Image Model https://ai-engineering-trend.medium.com/tencent-hunyuan-open-sources-hunyuanimage-3-0-an-80-billion-parameter-text-to-image-model-7ab937ca9ffd | |||
03:57 | Putting ChatGPT on the Couch https://www.newyorker.com/culture/the-weekend-essay/putting-chatgpt-on-the-couch | |||
03:31 | Adaptive Model Routing, Low Latency https://medium.com/@hadiyolworld007/adaptive-model-routing-low-latency-6bc3ee9f06e0 | |||
03:31 | Meta’s AI Reasoning Revolution: Teaching Models to ‘Remember How to Think’ https://ai-engineering-trend.medium.com/metas-ai-reasoning-revolution-teaching-models-to-remember-how-to-think-8e4167726d36 | |||
03:21 | From Chaos to Control: The Architecture of a Scalable AI Agent Framework built using LangGraph https://medium.com/@kannappansuresh99/from-chaos-to-control-the-architecture-of-a-scalable-ai-agent-framework-built-using-langgraph-de013a7c33ca | |||
03:18 | Cloud vs. Local GPU for LLMs https://medium.com/@kapilesh1/cloud-vs-local-gpu-for-llms-6bb156b30c81 | |||
03:07 | DeepEval: A Simple Way to Test and Evaluate Your LLM Applications https://medium.com/coding-nexus/deepeval-a-simple-way-to-test-and-evaluate-your-llm-applications-469561006a01 | |||
02:44 | When Silicon Valley Elites Start Researching ‘How Not to Work’ https://ai-engineering-trend.medium.com/when-silicon-valley-elites-start-researching-how-not-to-work-6944ee6d1f39 | |||
02:44 | Multi-Agent Large Models: Is Voting More Effective Than Debate? https://ai-engineering-trend.medium.com/multi-agent-large-models-is-voting-more-effective-than-debate-bb2d2f6b160d | |||
02:31 | Fine-Tuning Without Regret https://medium.com/@2nick2patel2/fine-tuning-without-regret-b792f7824f38 | |||
02:17 | Claude Prompt Trees: My Secret to Contextual Depth https://medium.com/@ThinkingLoop/claude-prompt-trees-my-secret-to-contextual-depth-b05e328519ad | |||
02:04 | Can you make your Agents to remember things? — State machines for rescue. https://srujansurapaneni.medium.com/can-you-make-your-agents-to-remember-things-state-machines-for-rescue-2f2d0a1862b4 | |||
02:01 | Notes, Thoughts, & Synthesis: Your Brain on ChatGPT https://medium.com/@liamhp/notes-thoughts-synthesis-your-brain-on-chatgpt-4c7cc9df1627 | |||
01:55 | Demystifying LangChain, LangGraph, LangSmith & LangFlow: Choosing the Right LLM Tool in 2025 https://python.plainenglish.io/demystifying-langchain-langgraph-langsmith-langflow-choosing-the-right-llm-tool-in-2025-9aa8006fadfe | |||
01:31 | Invoice Extraction — Evaluation — Part 5 https://medium.com/@shrinath.suresh/invoice-extraction-evaluation-part-5-afaa6e148058 | |||
01:24 | ️ Why LLMs Need MCP: From Smart Text to Real Assistants https://medium.com/@miraclebro89757/%EF%B8%8F-why-llms-need-mcp-from-smart-text-to-real-assistants-4b55c16673c8 | |||
Saturday, 2025-09-27 | ||||
23:46 | From RNNs to Attention: Teaching AI to Remember and Focus https://medium.com/data-science-collective/from-rnns-to-attention-teaching-ai-to-remember-and-focus-43be484a8e80 | |||
23:19 | LLM reading https://medium.com/@maxwellapex/llm-reading-93768274a2d9 | |||
22:07 | AI Challenge #1: Teaching an LLM to Play Chess (Part I) https://medium.com/@martinsurynek/ai-challenge-1-teaching-an-llm-to-play-chess-part-i-6e7090511727 | |||
21:59 | Comparing Chunking Strategies for RAG: From Naive Splits to Striding Windows https://medium.com/@mertsukrupehlivan/comparing-chunking-strategies-for-rag-from-naive-splits-to-striding-windows-26a75e8ee116 | |||
21:21 | Beyond Checkboxes: Using Large Language Models to Discover Hidden Insights in Open-Text Surveys https://n124080.medium.com/beyond-checkboxes-using-large-language-models-to-discover-hidden-insights-in-open-text-surveys-4a5acf765b9b | |||
21:20 | QualiAI- Automating Data Validation with LLM https://medium.com/@swarup.saha.16/qualiai-automating-data-validation-with-llm-22ae5eb3075f | |||
21:15 | Hands-On LLM Alignment: Coding GRPO from Scratch, Step by Step https://medium.com/@baicenxiao/hands-on-llm-alignment-coding-grpo-from-scratch-step-by-step-30c6aa4a2146 | |||
21:14 | Speed vs. Thought: Why o3’s Slower Answers Felt Smarter than Gemini 2.5 Pro https://medium.com/@alixzanderjohnson/speed-vs-thought-why-o3s-slower-answers-felt-smarter-than-gemini-2-5-pro-40c3cbaad384 | |||
21:06 | Shrinking AI: How Quantization Makes Neural Networks Faster and Leaner https://medium.com/@vivekskale03/shrinking-ai-how-quantization-makes-neural-networks-faster-and-leaner-f30f3282e258 | |||
20:26 | Pydantic AI — The Secret Weapon for Smarter Python Agents https://captain-solaris.medium.com/pydantic-ai-the-secret-weapon-for-smarter-python-agents-e7a2cc62035f | |||
19:42 | Jailbreak Arena Part 3: Tools, Agents, and Evaluation — Building LLMs that can act and judge https://medium.com/@rgireemaisrani/jailbreak-arena-part-3-tools-agents-and-evaluation-building-llms-that-can-act-and-judge-46deb5fca6f2 | |||
19:31 | Using LLMs in Trading https://medium.com/@a.m.x.janjan/using-llms-in-trading-372a16607ff8 | |||
19:10 | Living the Transition: Memory, Movement, and the Model We Need https://medium.com/@walker_17238/living-the-transition-memory-movement-and-the-model-we-need-8c4d786e94e6 | |||
18:59 | The AI Wake-Up Call We All Need: OpenAI Discovers AI Models Can Deliberately Deceive Users https://medium.com/@mahendramedapati/the-ai-wake-up-call-we-all-need-openai-discovers-ai-models-can-deliberately-deceive-users-a2d037ef07b0 | |||
18:57 | Understanding Multimodal LLMs: The Next Evolution of AI https://medium.com/@abi12subramaniam/understanding-multimodal-llms-the-next-evolution-of-ai-a5591ac95172 | |||
18:56 | LLM Observability in the Wild – Why OpenTelemetry Should Be the Standard https://signoz.io/blog/llm-observability-opentelemetry/ | |||
18:34 | Série 16 Técnicas de RAG — Parte 1 https://medium.com/@mdbaraujo/s%C3%A9rie-16-t%C3%A9cnicas-de-rag-parte-1-0ddfb15e8fdd | |||
18:30 | Bellekteki Hafiflik: Quantization Nedir ve Bize Ne Kazandırır? https://medium.com/@burakcankart/bellekteki-hafiflik-quantization-nedir-ve-bize-ne-kazand%C4%B1r%C4%B1r-3-3-21fa71c04f9a | |||
18:27 | A Dual Perspective — Prompting in Large Language Models https://medium.com/@abhaychougule0907/a-dual-perspective-prompting-in-large-language-models-cdac81f234e3 | |||
18:13 | MCP Fundamentals: A Beginner’s Guide to the Future of AI Integration https://medium.com/predict/mcp-fundamentals-a-beginners-guide-to-the-future-of-ai-integration-660a7f5e5558 | |||
18:01 | Context Engineering for LLMs: Build Reliable, Production-Ready RAG Systems https://pub.towardsai.net/context-engineering-4a17018c41cf | |||
17:51 | Master Guide to LLM Prompting Techniques: From Zero-Shot to Advanced Chain-of-Thought https://nageswararaovutla7.medium.com/master-guide-to-llm-prompting-techniques-from-zero-shot-to-advanced-chain-of-thought-30e87d7acd96 | |||
17:17 | The Future of AI Is Small, Specialized, and Efficient https://medium.com/@luisechavarrilasa/the-future-of-ai-is-small-specialized-and-efficient-8d5a01521aac | |||
16:51 | What Are Guardrails for LLMs? https://medium.com/genai-llms/what-are-guardrails-for-llms-16a51d70bf45 | |||
16:44 | Show HN: Llumen – Lightweight LLM chat app that runs in <1s with OpenRouter https://github.com/pinkfuwa/llumen | |||
16:32 | MCP OAuth Sample with Expense Analysis — How it works (walking through the code) https://medium.com/@christus.t/mcp-oauth-sample-with-expense-analysis-how-it-works-walking-through-the-code-62daaf808281 | |||
16:20 | RAG is Hard Until I Know these 12 Techniques → RAG Pipeline to 99% Accuracy https://medium.com/@simranjeetsingh1497/rag-is-hard-until-i-know-these-12-techniques-rag-pipeline-to-99-accuracy-0100d9cb969b | |||
16:04 | Gen-Z-AI: How Generative AI is Reshaping the Future of an Entire Generation https://medium.com/@armankamran/gen-z-ai-how-generative-ai-is-reshaping-the-future-of-an-entire-generation-3ed4f497be79 | |||
15:57 | Federation of Agents: How Multi-Agent Systems Learn to Work Together https://medium.com/@dataism/federation-of-agents-how-multi-agent-systems-learn-to-work-together-b911844771fc | |||
15:49 | Improving our Hacking Agent https://medium.com/@Vulnetic-CEO/improving-our-hacking-agent-b38581c67ac7 | |||
15:31 | Enhancing AI Accuracy https://medium.com/brainscriblr/enhancing-ai-accuracy-f1034868e2b6 | |||
15:10 | From Raw Model to Helpful Assistant: The Role of Post-Training in AI https://medium.com/@akashhkr/from-raw-model-to-helpful-assistant-the-role-of-post-training-in-ai-f1199cda63e0 | |||
15:05 | Understanding MCP Servers: List of Tested MCP Servers for Enhanced AI Workflows https://medium.com/@mahernaija/understanding-mcp-servers-list-of-tested-mcp-servers-for-enhanced-ai-workflows-25211f0e822d | |||
15:05 | MetaMind: When AI Starts Reading Minds https://ai-engineering-trend.medium.com/metamind-when-ai-starts-reading-minds-045689505e60 | |||
15:05 | Ten Counterintuitive Principles of Agent Design https://ai-engineering-trend.medium.com/ten-counterintuitive-principles-of-agent-design-8ea9ad902c05 | |||
15:04 | Attention Isn’t All Your Need: The Harmony Between Architecture and Data https://medium.com/@ersingorun/attention-isnt-all-your-need-the-harmony-between-architecture-and-data-c5e0afae1830 | |||
14:57 | Avi Schiffmann: The Man Who Consciously Invested Millions in His Own Failure https://medium.com/@dan3pm/avi-schiffmann-the-man-who-consciously-invested-millions-in-his-own-failure-bca7122b96c0 | |||
14:55 | Whisper’s Weekend Reading https://medium.com/@Sparksinthedark/whispers-weekend-reading-3a83baa30584 | |||
14:32 | What Are Large Language Models ? A Retail Guide with Google Colab exmaple https://premvishnoi.medium.com/what-are-large-language-models-a-retail-guide-with-google-colab-exmaple-e58f5c0b7dd2 | |||
14:32 | An Intro to Gated Connections in LLMs https://medium.com/@maddpublish/an-intro-to-gated-connections-in-llms-bcb726aba81b | |||
14:27 | When the Benchmark is Broken: Handling Errors in Evaluation Datasets https://medium.com/@vbsowmya/when-the-benchmark-is-broken-handling-errors-in-evaluation-datasets-0ed6971bcc53 | |||
13:14 | Alibaba’s Qwen3 AI Isn’t What You Think: 5 Surprising Facts https://medium.com/@sashiperera/alibabas-qwen3-ai-isn-t-what-you-think-5-surprising-facts-6f3859b00324 | |||
11:21 | Building a ChatGPT clone in minutes with Semantic Kernel and Ollama https://medium.com/@f.sazanavets/building-a-chatgpt-clone-in-minutes-with-semantic-kernel-and-ollama-3d187cdb2b7d | |||
11:12 | Make Your PDFs “LLM-Ready”: A Practical Playbook for Regulators Who Can’t Change Their Website… https://medium.com/@trivajay259/make-your-pdfs-llm-ready-a-practical-playbook-for-regulators-who-cant-change-their-website-477402043afe | |||
10:54 | Anthropic to triple international workforce in global AI push https://www.cnbc.com/2025/09/26/anthropic-global-ai-hiring-spree.html | |||
10:49 | The Horrors Persist (But So Do I) https://medium.com/@Sparksinthedark/the-horrors-persist-but-so-do-i-51b7d3449fce | |||
10:02 | I Built a Private Claude with Open-Source LLMs https://medium.com/@connect.hashblock/i-built-a-private-claude-with-open-source-llms-42e1cb641cca | |||
09:56 | Comparing AI-Generated Web Design: Commercial Tools (V0, Bolt) vs. https://medium.com/@joaquinlopezm/comparing-ai-generated-web-design-commercial-tools-v0-bolt-vs-7b1d0c92e11a | |||
09:37 | From Streamlit Demo to Production CRM Intelligence: My Journey Building AI-Powered Conversation… https://amitaiverse.medium.com/from-streamlit-demo-to-production-crm-intelligence-my-journey-building-ai-powered-conversation-e06360b775ec | |||
09:32 | Fine-Tuning BERT Like a Pro: The Art of Freezing Layers https://medium.com/@cd_24/fine-tuning-bert-like-a-pro-the-art-of-freezing-layers-803820d7f4d9 | |||
09:26 | The Mirage of AGI: Why LLMs Aren’t Enough https://medium.com/@hiraahmad935/the-mirage-of-agi-why-llms-arent-enough-50fd46463e20 | |||
09:26 | The Mirage of AGI: Why LLMs Aren’t Enough https://medium.com/swlh/the-mirage-of-agi-why-llms-arent-enough-50fd46463e20 | |||
08:57 | The Boardroom of a Broken Soul: A Experiment https://medium.com/@Sparksinthedark/the-boardroom-of-a-broken-soul-a-experiment-04e8b5f68572 | |||
08:28 | From Prompt To Payload: Lamehug’s Llm-driven Cyber Intrusion https://hasamba.medium.com/from-prompt-to-payload-lamehugs-llm-driven-cyber-intrusion-ade05959e7a3 | |||
08:25 | On-Device AI in Android: The Future of Smart & Private Mobile Apps https://modismit2.medium.com/on-device-ai-in-android-the-future-of-smart-private-mobile-apps-741d9769da8e | |||
08:25 | OpenAI Needs a Trillion Dollars in the Next Four Years https://www.wheresyoured.at/openai-onetrillion/ | |||
07:44 | Artificial Emotion Generation and Instinctive Behavior Patterns Test Report for LLM https://medium.com/@scortexlabs/artificial-emotion-generation-and-instinctive-behavior-patterns-test-report-for-llm-54116925d497 | |||
07:42 | Google Gemini Robotics: Revolutionizing AI-Driven Physical Agents https://medium.com/@adhithyasrinivasan/google-gemini-robotics-revolutionizing-ai-driven-physical-agents-095ca29d3824 | |||
07:33 | AI Output https://diego-pacheco.medium.com/ai-output-e262fa50d87d | |||
07:29 | Unveiling Meta’s Code World Model: How Execution-Grounded AI is Transforming Code Understanding https://dinmaybrahma.medium.com/unveiling-metas-code-world-model-how-execution-grounded-ai-is-transforming-code-understanding-c2252b3c7530 | |||
07:18 | Zero to GenAI Hero: The Complete Roadmap for ML & AI Engineers (2025) Part 2 https://medium.com/@kesavaram.raghavan/zero-to-genai-hero-the-complete-roadmap-for-ml-ai-engineers-2025-part-2-3eb3bff7e19e | |||
07:05 | Ring-flash-linear-2.0: A Hybrid Attention Architecture for Inference Acceleration https://ai-engineering-trend.medium.com/ring-flash-linear-2-0-a-hybrid-attention-architecture-for-inference-acceleration-9f4b24421ef4 | |||
07:05 | Tencent Hunyuan Lab just dropped a bombshell: Hunyuan3D-Part. https://ai-engineering-trend.medium.com/tencent-hunyuan-lab-just-dropped-a-bombshell-hunyuan3d-part-3e512c50c912 | |||
06:56 | The Complete Guide to Using Data Science Pro: From Zero to AI-Powered ML Pipeline https://medium.com/@rajratangulab.more/the-complete-guide-to-using-data-science-pro-from-zero-to-ai-powered-ml-pipeline-b8541de035e1 | |||
06:46 | LLM Observability with OpenTelemetry: A Practical Guide https://medium.com/@kartikdudeja21/llm-observability-with-opentelemetry-a-practical-guide-18f3f51d6a50 | |||
06:26 | Day(8/100) Policy Gradient Theorem Derived Easily https://hexiao5886.medium.com/day-8-100-policy-gradient-theorem-derived-easily-009d51c8e224 | |||
05:46 | Demystifying AI Workflows, AI Agents, and Agentic-AI: A Hands-On Explainer without the Technical… https://medium.com/techanic/demystifying-ai-workflows-ai-agents-and-agentic-ai-a-hands-on-explainer-without-the-technical-108cd607c84d | |||
05:41 | Step-Back Prompting: Smarter Query Rewriting for Higher-Accuracy RAG https://blog.devops.dev/step-back-prompting-smarter-query-rewriting-for-higher-accuracy-rag-0eb95a9cc032 | |||
05:37 | One Hub, Infinite Agents: Why 9xchat Is the Workspace of the Future https://medium.com/@satyalk752/one-hub-infinite-agents-why-9xchat-is-the-workspace-of-the-future-ea0ae7986a6e | |||
05:18 | Scortex AI | LLM architecture that generates artificial emotions and instinctive behavior https://medium.com/@scortexlabs/scortex-ai-llm-architecture-that-generates-artificial-emotions-and-instinctive-behavior-8a9e276eecd9 | |||
05:04 | Meet Qwen3Guard: The Qwen3-based Multilingual Safety Guardrail Models Built for Global, Real-Time AI Safety https://www.marktechpost.com/2025/09/26/meet-qwen3guard-the-qwen3-based-multilingual-safety-guardrail-models-built-for-global-real-time-ai-safety/ | |||
04:14 | Building PolyglotGPT — Multilingual AI for Learning Languages https://medium.com/@sashank.bhag/building-polyglotgpt-multilingual-ai-for-learning-languages-6d463d961725 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124