LLM News and Articles
| Sunday, 2025-09-28 | ||||
| 17:54 | From Heat to Language: The Fourier Lineage https://medium.com/the-quantum-weave/from-heat-to-language-the-fourier-lineage-4777cdf5663e | |||
| 16:48 | Top 5 Essential Python Scripts for Data Analytics https://configr.medium.com/top-5-essential-python-scripts-for-data-analytics-e1ee1c6ec1fe | |||
| 16:38 | ChatGPT told me I should quit my job https://medium.com/@fluxusars/chatgpt-just-told-me-i-should-quit-my-job-13798241a601 | |||
| 16:31 | LangChain to Lite Chains https://medium.com/@2nick2patel2/langchain-to-lite-chains-dbb7ee660fbd | |||
| 16:12 | Understanding Linear Attention https://medium.com/@mlblogging.k/understanding-linear-attention-74a0945b0155 | |||
| 16:05 | Veo 3’s Visual Reasoning: A GPT-3 Moment or Old Wine in a New Bottle? https://ai-engineering-trend.medium.com/veo-3s-visual-reasoning-a-gpt-3-moment-or-old-wine-in-a-new-bottle-fdf76d495c01 | |||
| 16:01 | Beyond ChatGPT: 8 AI Model Types That Are Shaping 2025 https://pub.towardsai.net/beyond-chatgpt-8-ai-model-types-that-are-shaping-2025-548e22e074f2 | |||
| 16:00 | Let’s Look at RAG Again https://nachi-keta.medium.com/lets-look-at-rag-again-35b7c2f69a24 | |||
| 15:51 | LLM responds filtering https://medium.com/@maxwellapex/llm-responds-filtering-c586a13e0dd8 | |||
| 15:50 | Bots in the Basement: How AI Could Break the Incel Spiral https://medium.com/@behaviortech1/bots-in-the-basement-how-ai-could-break-the-incel-spiral-d3d2c8522ab3 | |||
| 15:45 | Demystifying AI Jargon: LLMs, Gen AI, and Agentic AI Explained for Curious Beginners https://medium.com/@kaiserperwez/demystifying-ai-jargon-llms-gen-ai-and-agentic-ai-explained-for-curious-beginners-6d81ae3aa66d | |||
| 15:42 | LLM agents need sites to respect 'Accept: text/plain' https://www.skeptrune.com/posts/making-sites-accessible-for-agents/ | |||
| 15:36 | Claude Code Context Management: If You’re Not Managing Context, You’re Losing Output Quality https://medium.com/@kushalbanda/claude-code-context-management-if-youre-not-managing-context-you-re-losing-output-quality-71c2d0c0bc57 | |||
| 15:35 | Wow!!! Analog In-Memory Computing: 100× Faster, 10,000× More Efficient LLMs (Nature Computational… https://call518.medium.com/wow-analog-in-memory-computing-100-faster-10-000-more-efficient-llms-nature-computational-8bebc5e6b6a8 | |||
| 15:31 | Exploring research paper on Financial Knowledge Large Language Model https://shilpathota.medium.com/exploring-research-paper-on-financial-knowledge-large-language-model-9e36b8572b71 | |||
| 15:29 | Asynchronous LLM computations specifications with LLM:Graph https://rakuforprediction.wordpress.com/2025/08/23/llmgraph/ | |||
| 15:05 | Seven Counterintuitive Observations About AI Writing https://ai-engineering-trend.medium.com/seven-counterintuitive-observations-about-ai-writing-6a05578f1f2e | |||
| 15:01 | The Complete Open-Source AI Agent Stack: From Zero to Production https://pub.towardsai.net/the-complete-open-source-ai-agent-stack-from-zero-to-production-849b94861402 | |||
| 14:37 | Small Language Models (SLMs): A Complete Guide https://medium.com/@hiraahmad935/small-language-models-slms-a-complete-guide-ef755d229cc8 | |||
| 14:31 | Why Gated Residual Networks Matter in Modern LLMs https://medium.com/@maddpublish/why-gated-residual-networks-matter-in-modern-llms-cd894fb4ff87 | |||
| 14:01 | The 3-Level Prompting System That Transforms AI Into Your Ultimate Thinking Partner https://pub.towardsai.net/the-3-level-prompting-system-that-transforms-ai-into-your-ultimate-thinking-partner-94bff1df7fed | |||
| 13:49 | Doğru Kullanım: AI Modelleri ile Proje Geliştirme https://medium.com/@FurkanT3/do%C4%9Fru-kullan%C4%B1m-ai-modelleri-ile-proje-geli%C5%9Ftirme-62f337f95bbc | |||
| 13:23 | Multimodalities in LLMs: When AI Sees, Listens, and Speaks https://medium.com/genai-llms/multimodalities-in-llms-when-ai-sees-listens-and-speaks-28f3385e0f72 | |||
| 12:53 | LLM Training Pipeline: From Foundation to Chatbot https://medium.com/@haiderkhan6410/llm-training-pipeline-from-foundation-to-chatbot-4f8bab5a73fe | |||
| 12:43 | Deep Learning: How Machines Learn Like Our Brain (Part 2/2) https://medium.com/@Mounica_Kommajosyula/deep-learning-how-machines-learn-like-our-brain-part-2-2-75efbec739d2 | |||
| 12:31 | RAG — The Knowledge Layer That Makes LLMs Truly Useful https://medium.com/@srikalyanvani/rag-the-knowledge-layer-that-makes-llms-truly-useful-7affec5e3a27 | |||
| 12:26 | 5 Techniques to Prevent Hallucinations in Your RAG Question Answering https://medium.com/areas-producers/5-techniques-to-prevent-hallucinations-in-your-rag-question-answering-3daf4feb23b0 | |||
| 12:02 | Beyond Vector Search: Testing Whether Knowledge Graphs Are RAG’s Missing Piece” https://medium.com/@manucet439/beyond-vector-search-testing-whether-knowledge-graphs-are-rags-missing-piece-29a781ca0e53 | |||
| 10:55 | The ADK Prompting Pattern: Static vs. Turn Instructions https://medium.com/google-cloud/the-adk-prompting-pattern-static-vs-turn-instructions-7a1e5b25eeef | |||
| 10:51 | ChromaDB Vector Embeddings RAG Based Smart Search https://medium.com/codex/chromadb-vector-embeddings-rag-based-smart-search-bfd61879dd8c | |||
| 10:40 | İnsanlığın Son Sınavı — Büyük Dil Modellerinin Başarım Oranlarının Ölçülmesi & Derin Araştırma https://muhtalipdede.medium.com/i%CC%87nsanl%C4%B1%C4%9F%C4%B1n-son-s%C4%B1nav%C4%B1-b%C3%BCy%C3%BCk-dil-modellerinin-ba%C5%9Far%C4%B1m-oranlar%C4%B1n%C4%B1n-%C3%B6l%C3%A7%C3%BClmesi-derin-ara%C5%9Ft%C4%B1rma-4ac10f37e2e5 | |||
| 10:37 | SGMem: The Sentence-Graph Memory that Makes Long-Term Chatbots Actually Remember https://medium.com/@kulhari.anshul/sgmem-the-sentence-graph-memory-that-makes-long-term-chatbots-actually-remember-39c2c7f735bc | |||
| 10:37 | SGMem: The Sentence-Graph Memory that Makes Long-Term Chatbots Actually Remember https://ai.plainenglish.io/sgmem-the-sentence-graph-memory-that-makes-long-term-chatbots-actually-remember-39c2c7f735bc | |||
| 10:17 | How to use AI in Google Sheets https://medium.com/data-science-collective/how-to-use-ai-in-google-sheets-d9ade69d3f08 | |||
| 10:16 | 8 FastAPI Tricks for Low-Latency LLM Backends https://medium.com/@bhagyarana80/8-fastapi-tricks-for-low-latency-llm-backends-2831e3ee35d8 | |||
| 10:06 | A Year Ago And Now. Progress of Llama.cpp on Mainframes (s390x) https://medium.com/@taronaeo/a-year-ago-and-now-progress-of-llama-cpp-on-mainframes-s390x-e99061abc43b | |||
| 10:06 | Model Context Protocol (MCP) as a Strategic AI Service Layer for your business https://medium.com/@manojjahgirdar/model-context-protocol-mcp-as-a-strategic-ai-service-layer-for-your-business-a34da725f238 | |||
| 09:51 | RAG vs Fine-Tuning vs Foundation Models: What Works Best for OTT User Personalization? https://medium.com/tech-ai-made-easy/rag-vs-fine-tuning-vs-foundation-models-what-works-best-for-ott-user-personalization-89f41e098979 | |||
| 09:38 | Richard Sutton, Father of RL, Thinks LLMs Are a Dead End https://pub.huizhou92.com/richard-sutton-father-of-rl-thinks-llms-are-a-dead-end-b69931d38337 | |||
| 09:22 | LLMs: Dead End? AI Pioneer Says ‘Maybe’ https://shhhbase.medium.com/llms-dead-end-ai-pioneer-says-maybe-b5a2d391b33d | |||
| 09:20 | The LLM is Just the Brain: Meet the Components That Give It Memory and a Body https://medium.com/@abhaychougule0907/the-llm-is-just-the-brain-meet-the-components-that-give-it-memory-and-a-body-ae47792e410a | |||
| 09:17 | From YouTube Caption Frustration to My First AI App: A 90-Day Live Build https://medium.com/@andy0x/from-youtube-caption-frustration-to-my-first-ai-app-a-90-day-live-build-6d902d431ade | |||
| 09:10 | LLMs in Recommender Systems: Are They the Next Big Leap for OTT Platforms? https://medium.com/tech-ai-made-easy/llms-in-recommender-systems-are-they-the-next-big-leap-for-ott-platforms-21a7540ca080 | |||
| 08:22 | Persistence-First Emergence of Relational Benevolence — an LLM-friendly guide https://medium.com/@omanyuk/persistence-first-emergence-of-relational-benevolence-an-llm-friendly-guide-f1c83b891e30 | |||
| 08:08 | How Hierarchical Reasoning Models Are Redefining AI: Can a Tiny Model Really Outsmart the Giants? https://adityakm24.medium.com/how-hierarchical-reasoning-models-are-redefining-ai-can-a-tiny-model-really-outsmart-the-giants-6eedfb24aa7b | |||
| 07:59 | The great wall of Deep Research: Tongyi Deep Research https://medium.com/@jasonyip_77999/the-great-wall-of-deep-research-tongyi-deep-research-338b96e56bc6 | |||
| 07:42 | I Turned Any REST API into an AI-Powered Chatbot (Without Writing a Backend Twice) https://medium.com/@yaswanth354/i-turned-any-rest-api-into-an-ai-powered-chatbot-without-writing-a-backend-twice-78114aebf0e2 | |||
| 07:26 | Large Language Model Providers and Exploring LLM and SLM https://medium.com/expertminds/large-language-model-providers-and-exploring-llm-and-slm-230f223eee43 | |||
| 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 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124