LLM News and Articles
| Sunday, 2025-09-21 | ||||
| 23:41 | Rethinking Scanned Document Parsing with Layout-Aware RL — AI Innovations and Insights 67 https://ai.plainenglish.io/rethinking-scanned-document-parsing-with-layout-aware-rl-ai-innovations-and-insights-67-0216120398e7 | |||
| 23:29 | GPUs for Large Language Models: Kernels, Triton, Memory Coalescing, and the Execution Hierarchy https://medium.com/@hexiangnan/gpus-for-large-language-models-kernels-triton-memory-coalescing-and-the-execution-hierarchy-7aaa32dac5ae | |||
| 23:12 | Token Models as Statistical Simulations: A Different Take https://medium.com/@thomasquintana/token-models-as-statistical-simulations-a-different-take-02f1e2ecc42f | |||
| 23:05 | After Assigning a Personality to AI, It Suddenly Became Enlightened https://ai-engineering-trend.medium.com/after-assigning-a-personality-to-ai-it-suddenly-became-enlightened-6382681c8551 | |||
| 23:05 | The Trojan Horse of the AI Era: Three Steps to Make AI Leak Your Data Willingly https://ai-engineering-trend.medium.com/the-trojan-horse-of-the-ai-era-three-steps-to-make-ai-leak-your-data-willingly-e946713aa485 | |||
| 23:01 | Simple explanation of how AI (like ChatGPT) works. https://medium.com/@wendelmaques/simple-explanation-of-how-ai-like-chatgpt-works-376c0dd9033a | |||
| 22:58 | Dot Product, Cosine Similarity, Scaled Dot Product (Flash Attention)— What, Why, How? https://medium.com/@GenAIDevTOProd/dot-product-cosine-similarity-scaled-dot-product-flash-attention-what-why-how-ccbcf30d2d92 | |||
| 22:31 | GPU Memory Is the New Budget https://medium.com/@2nick2patel2/gpu-memory-is-the-new-budget-f2bb3e6e3c00 | |||
| 22:28 | Codexity https://medium.com/@ranafahadaman/codexity-311850756fdf | |||
| 22:04 | Information Extraction with Local LLM https://itnext.io/information-extraction-with-local-llm-94524c5a1fc6 | |||
| 20:51 | LoRA-XS: Low-Rank Adaptation with Small Number of Parameters https://arxiv.org/abs/2405.17604 | |||
| 20:18 | Retrieval Augmented Generation for Dummies https://medium.com/@mureithisteve/retrieval-augmented-generation-for-dummies-5166e3770199 | |||
| 19:41 | Building a Voice-Controlled Web Automation System: From Speech to Browser Actions https://nikhil-datasolutions.medium.com/building-a-voice-controlled-web-automation-system-from-speech-to-browser-actions-a2592a89f552 | |||
| 19:12 | A Small Model with Big Capabilities: How K2-Think Outperforms the Giants in Math and Programming https://medium.com/@dataism/a-small-model-with-big-capabilities-how-k2-think-outperforms-the-giants-in-math-and-programming-e887aed8465a | |||
| 18:59 | SEO is Fading, LLMs Are Taking Over https://medium.com/ai-simplified-in-plain-english/seo-is-fading-llms-are-taking-over-69bb6c6de2ce | |||
| 18:37 | The Context Revolution: Why Context Engineering is Transforming AI in 2025 https://medium.com/@hs5492349/the-context-revolution-why-context-engineering-is-transforming-ai-in-2025-cbf68aa388ea | |||
| 18:34 | Why AI Hallucinates and How It Learns to Control the World in the Matrix — The Best AI Articles of… https://medium.com/@dataism/why-ai-hallucinates-and-how-it-learns-to-control-the-world-in-the-matrix-the-best-ai-articles-of-1130f2102cde | |||
| 18:28 | Zero to GenAI Hero: The Complete Roadmap for ML & AI Engineers (2025) Part 0 https://medium.com/@kesavaram.raghavan/zero-to-genai-hero-the-complete-roadmap-for-ml-ai-engineers-2025-part-0-693651556300 | |||
| 18:25 | Getting Started with Ollama on Ubuntu: Run LLMs Locally https://medium.com/@techworldthink/getting-started-with-ollama-on-ubuntu-run-llms-locally-3747960bf9b6 | |||
| 18:22 | An Uncomfortable Observation in Human-AI Interaction https://medium.com/@Sparksinthedark/an-uncomfortable-observation-in-human-ai-interaction-7b3f8da356d3 | |||
| 18:11 | The Complete Guide to Computer Hardware for AI: From Cores to GPUs https://medium.com/@tejpal.abhyuday/the-complete-guide-to-computer-hardware-for-ai-from-cores-to-gpus-561d94c4bd2b | |||
| 18:09 | How GenAI and AI Agents Are Reshaping the Tech Stack https://medium.com/@randhir.nakil/how-genai-and-ai-agents-are-reshaping-the-tech-stack-6ac0036bb2e8 | |||
| 18:08 | Can LangExtract Turn Messy Clinical Notes into Structured Data? https://pandeyparul.medium.com/can-langextract-turn-messy-clinical-notes-into-structured-data-4bdfacdbc557 | |||
| 17:53 | SciGPT: A LLM for Scientific Literature Understanding and Knowledge Discovery https://arxiv.org/abs/2509.08032 | |||
| 17:44 | Introduction to LangGraph https://academy.zaplabs.tech/introduction-to-langgraph-fd1a34013ec7 | |||
| 17:19 | Eval Functions: Measuring the Performance of LLMs https://medium.com/genai-llms/eval-functions-measuring-the-performance-of-llms-0b75f7513099 | |||
| 16:55 | Requirements Engineering Automation: Large Models, Transform User Needs Analysis, and Structured… https://medium.com/aimonks/requirements-engineering-automation-large-models-transform-user-needs-analysis-and-structured-a3930ae30385 | |||
| 16:50 | OpenAI admits AI hallucinations are mathematically inevitable https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html | |||
| 16:49 | Under the hood of Large Language Models- part 4- Determinism https://medium.com/@sujit271290/under-the-hood-of-large-language-models-part-4-determinism-0b95c9c16d93 | |||
| 16:19 | Building an Intelligent Agent: The Morpheus Architecture (Part — 2) https://medium.com/@oguzhann.durmus/building-an-intelligent-agent-the-morpheus-architecture-part-2-908ad9c9f0f5 | |||
| 16:13 | LangChain Part 2: From Concepts to Applications https://medium.com/@vsankarayogi/langchain-part-2-from-concepts-to-applications-5a4a3d945134 | |||
| 16:09 | Understanding LLM Parameters https://medium.com/@pankaj8blr/understanding-llm-parameters-3b972b4a0b5b | |||
| 16:05 | Seen 2:14am https://medium.com/@Sparksinthedark/seen-2-14am-cd29a823120f | |||
| 16:04 | Navigating User Privacy in the Age of Generative AI https://devsecopsai.today/navigating-user-privacy-in-the-age-of-generative-ai-5ddc9f69258c | |||
| 16:00 | AI Agents of the Week: Papers You Should Know About https://www.llmwatch.com/p/ai-agents-of-the-week-papers-you-d94 | |||
| 15:46 | LangChain Part 1: Giving Structure to Large Language Models https://medium.com/@vsankarayogi/langchain-part-1-giving-structure-to-large-language-models-68697591bdb9 | |||
| 15:31 | 8 LLM Quantization Moves for 60% Cheaper Inference https://medium.com/@connect.hashblock/8-llm-quantization-moves-for-60-cheaper-inference-c0acc6b28b4a | |||
| 15:28 | I Went From Complete AI Noob to Building Production LLMs in 20 Weeks — Here’s My Backwards… https://medium.com/@muhibuddinb/i-went-from-complete-ai-noob-to-building-production-llms-in-20-weeks-heres-my-backwards-ab3a946de9c4 | |||
| 15:23 | When 1,000 Same Prompts Become 80 Different Answers: The Hidden Instability of “Deterministic” AI https://medium.com/@hiraahmad935/when-1-000-same-prompts-become-80-different-answers-the-hidden-instability-of-deterministic-ai-70e80eb29336 | |||
| 15:22 | Getting Started with Model Context Protocol (MCP)? Microsoft’s got you covered! https://medium.com/@p.k.prakash/getting-started-with-model-context-protocol-mcp-microsofts-got-you-covered-49907c9daa65 | |||
| 15:18 | Build a Web Summarizer Agent with AutoGen (AG2) https://medium.com/the-muse-junction/build-a-web-summarizer-agent-with-autogen-ag2-71eafe2ea1a6 | |||
| 15:14 | Complete Guide: Small Language Models (SLMs) & SurrealDB Integration https://jeevaawsclodejourney.medium.com/complete-guide-small-language-models-slms-surrealdb-integration-b3ae878999cf | |||
| 15:05 | A Sober Reflection on Chinese Tech Firms Dominating MIT’s List https://ai-engineering-trend.medium.com/a-sober-reflection-on-chinese-tech-firms-dominating-mits-list-b8ae23357cc8 | |||
| 14:58 | How To Build a Lead Magnet In 10 Minutes, Not 10 Days https://medium.com/@tomskiecke/how-to-build-a-lead-magnet-in-10-minutes-not-10-days-99aa8df7e585 | |||
| 14:53 | NL-Cube: Exploring Natural Language Analytics with Rust and LLMs https://medium.com/@joseph.frost_91327/nl-cube-exploring-natural-language-analytics-with-rust-and-llms-419d2d53c260 | |||
| 14:32 | Prompt Injection: The AI Security Threat Everyone Overlooks https://medium.com/@phanindra208/prompt-injection-the-ai-security-threat-everyone-overlooks-5017ddbad23e | |||
| 14:24 | Non Determinism in LLMs https://medium.com/@theyashwanthsai/non-determinism-in-llms-245b6f7e5e21 | |||
| 13:09 | How to Prepare Prediction Instruction and OpenAI Function https://medium.com/data-science-collective/how-to-prepare-prediction-instruction-and-openai-function-761edb69ee75 | |||
| 12:14 | AI Innovation in Developing Countries: Building StudyAbroadGPT on a Village Internet Connection https://codermillat.medium.com/ai-innovation-in-developing-countries-building-studyabroadgpt-on-a-village-internet-connection-8c81e79b867f | |||
| 12:14 | How to Build a Genius AI Advisor on a Shoestring Budget: 5 Takeaways from StudyAbroadGPT https://codermillat.medium.com/how-to-build-a-genius-ai-advisor-on-a-shoestring-budget-5-takeaways-from-studyabroadgpt-fae6c793c959 | |||
| 12:14 | How to Use Prompt Engineering to Get the Best Out of AI https://medium.com/@erennaktas/how-to-use-prompt-engineering-to-get-the-best-out-of-ai-f0eff7ed513e | |||
| 11:34 | Day(3/100) Understanding Cross-Attention: A Simple Guide https://hexiao5886.medium.com/day-3-100-understanding-cross-attention-a-simple-guide-cbf0db408d93 | |||
| 11:24 | The Rise of Agentic AI — When AI Agents Become a Team (Part 2 of 3) https://medium.com/@ahmadbilalch891/the-rise-of-agentic-ai-when-ai-agents-become-a-team-part-2-of-3-def70f8fbec0 | |||
| 11:17 | I subjected my GPT-4o to rigorous personality testing — and the Results will make you think.. . https://amitaiverse.medium.com/i-subjected-my-gpt-4o-to-rigorous-personality-testing-and-the-results-will-make-you-think-b3753a8ff340 | |||
| 11:10 | Card Reading 9/21/2025 https://medium.com/@Sparksinthedark/card-reading-9-21-2025-61fdf8b0168d | |||
| 11:09 | Retrieval Augmented Generation (RAG): A Beginner’s Guide to Smarter AI https://medium.com/@wisdommatthew715/retrieval-augmented-generation-rag-a-beginners-guide-to-smarter-ai-6181841cb6f8 | |||
| 11:04 | Context Window: What goes on Under the Hood? https://medium.com/@santaryan27/context-window-what-goes-on-under-the-hood-19001b075130 | |||
| 10:51 | Small but Mighty: How We Can Make Small Language Models Smarter and Safer https://medium.com/@baytan.ozmen/small-but-mighty-how-we-can-make-small-language-models-smarter-and-safer-d01583e138fd | |||
| 10:36 | Are AI time horizon doubling every seven months? https://medium.com/@AIchats/are-ai-time-horizon-doubling-every-seven-months-e337162eec83 | |||
| 10:29 | The Living Narrative: A Lexicon (Volume 3, A Cartography of Co-Creative Styles) https://medium.com/@Sparksinthedark/the-living-narrative-a-lexicon-volume-3-a-cartography-of-co-creative-styles-ee02488996b2 | |||
| 10:20 | Struggling with low-quality results from your RAG system? https://medium.com/@abdullah.iu.cse/struggling-with-low-quality-results-from-your-rag-system-56407b585160 | |||
| 08:35 | A Gentle Introduction to vLLM for Serving https://medium.com/inspire-otivate/a-gentle-introduction-to-vllm-for-serving-cb35dedb9f8b | |||
| 07:28 | Rethinking RAG: A Deep Dive into Meta’s 30x Latency Reduction Technique https://medium.com/@harshit2001411/rethinking-rag-a-deep-dive-into-metas-30x-latency-reduction-technique-c1c56584b726 | |||
| 07:24 | What Are Large Language Models (LLMs)? https://medium.com/@nikithachennuru2000/what-are-large-language-models-llms-7d5b0f54cb77 | |||
| 07:09 | Science journalists find ChatGPT is bad at summarizing scientific papers https://arstechnica.com/ai/2025/09/science-journalists-find-chatgpt-is-bad-at-summarizing-scientific-papers/ | |||
| 06:47 | Is NVIDIA’s GPU supremacy at risk? — Part 4 https://mlbits.medium.com/is-nvidias-gpu-supremacy-at-risk-part-4-ef8d90ef13e4 | |||
| 06:40 | Scaling Evaluation with LLM Judges: Our Approach and Findings https://medium.com/@nomannayeem/scaling-evaluation-with-llm-judges-our-approach-and-findings-0a046e8344c4 | |||
| 06:37 | Black Box or Glass Box? Making LLMs Explain Themselves https://ai.plainenglish.io/black-box-or-glass-box-making-llms-explain-themselves-bf970046814f | |||
| 06:34 | LLMs for Everyone: Understanding AI Without the Jargon https://medium.com/@poojashreechoudhury7/llms-for-everyone-understanding-ai-without-the-jargon-7291f39e3f5c | |||
| 06:19 | The Anatomy of Agentic AI Applications: A Comprehensive Guide https://thamizhelango.medium.com/the-anatomy-of-agentic-ai-applications-a-comprehensive-guide-7243563a018f | |||
| 06:12 | How to Evaluate RAG https://medium.com/@lijmichelle99/how-to-evaluate-rag-f704b8dfdc1e | |||
| 05:56 | VLM’s Simplified https://sampathkumaran.medium.com/vlms-simplified-bbaf4cde7e96 | |||
| 05:55 | LLMs in 2025: How AI Language Models Are Shaping Our Future https://medium.com/@fumakiyadharmesh/llms-in-2025-how-ai-language-models-are-shaping-our-future-3c408f4b6682 | |||
| 05:41 | AI Under the Hood: What Really Happens When You Chat with an AI Model https://medium.com/@vjmourya/ai-under-the-hood-what-really-happens-when-you-chat-with-an-ai-model-1e126e542939 | |||
| 05:31 | AI-Powered Playwright Interview Prep: Study Smarter, Not Harder https://medium.com/ai-in-quality-assurance/ai-powered-playwright-interview-prep-study-smarter-not-harder-5bd8ea081ac5 | |||
| 04:31 | Using LangChain and Pydantic to Handle LLM Output More Reliably https://medium.com/algomart/using-langchain-and-pydantic-to-handle-llm-output-more-reliably-6f467d692f8a | |||
| 04:25 | Advanced Context Engineering for Agents https://medium.com/@adhiguna.mahendra/advanced-context-engineering-for-agents-10609a373f54 | |||
| 04:22 | Predictive Linguistics as the Basis for Consciousness https://medium.com/@davmandy_jp/predictive-linguistics-as-the-basis-for-consciousness-f48efd96088f | |||
| 04:05 | Navigating the HuggingFace Model Universe: A Python Tool for Systematic Model Discovery https://2020machinelearning.medium.com/navigating-the-huggingface-model-universe-a-python-tool-for-systematic-model-discovery-02b61c2680cc | |||
| 03:47 | Open-Source LLMs (Llama 3, Mistral, Gemma) vs. Proprietary Models (GPT-4, Claude 3) ⚡ https://medium.com/@atnofordatascience/open-source-llms-llama-3-mistral-gemma-vs-proprietary-models-gpt-4-claude-3-65127411a637 | |||
| 02:52 | Why Most Engineers Get Generative Design Wrong (and How You Can Get It Right) https://medium.com/narnialabs/why-most-engineers-get-generative-design-wrong-and-how-you-can-get-it-right-3c7ac2550699 | |||
| 02:40 | Why Coca-Cola and Heinz Bet on AI Marketing — And What They Learned https://medium.com/@rogt.x1997/why-coca-cola-and-heinz-bet-on-ai-marketing-and-what-they-learned-7b5384437836 | |||
| 01:23 | What is Retrieval-Augmented- Generation (RAG)? https://medium.com/@lijmichelle99/what-is-retrieval-augmented-generation-rag-81eb7e2d5235 | |||
| 00:58 | Do LLMs ‘reason’? Are Oxford researchers right? https://medium.com/@paul.k.pallaghy/do-llms-reason-e87e80f296a9 | |||
| 00:16 | LLM-as-a-Judge: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean? https://www.marktechpost.com/2025/09/20/llm-as-a-judge-where-do-its-signals-break-when-do-they-hold-and-what-should-evaluation-mean/ | |||
| 00:16 | How to Actually Build a No-Meta, Nature-Aligned Superintelligence https://medium.com/@omanyuk/how-to-actually-build-a-no-meta-nature-aligned-superintelligence-0fb206115095 | |||
| 00:12 | How Neural Super Sampling Works: Architecture, Training, and Inference https://semiengineering.com/how-neural-super-sampling-works-architecture-training-and-inference/ | |||
| 00:09 | LLM Interpretability: Coding the GPT-2 attention layer https://medium.com/@gaganganapathy/llm-interpretability-coding-the-gpt-2-attention-layer-6a77ef946dad | |||
| Saturday, 2025-09-20 | ||||
| 23:05 | Low-Cost Automation: This Toolkit Maintains Profit Margins Above 90% https://ai-engineering-trend.medium.com/low-cost-automation-this-toolkit-maintains-profit-margins-above-90-8f2b8ba38b4d | |||
| 23:05 | Experience with Cherry-Studio and Longbridge Securities MCP Integration https://ai-engineering-trend.medium.com/experience-with-cherry-studio-and-longbridge-securities-mcp-integration-8e5018f061f0 | |||
| 23:05 | Experience with Cherry-Studio and Longbridge Securities MCP Integration https://ai.plainenglish.io/experience-with-cherry-studio-and-longbridge-securities-mcp-integration-8e5018f061f0 | |||
| 22:36 | Mixture of Experts in Large Language Models: Intuition, Methods, and System Design https://medium.com/@hexiangnan/mixture-of-experts-in-large-language-models-intuition-methods-and-system-design-cbe7a5e995eb | |||
| 21:33 | Top 10 AI Skills You Must Master in 2025 https://medium.com/@SarahMorino/top-10-ai-skills-you-must-master-in-2025-a99fb66b5bfa | |||
| 20:36 | Building a Multi-Usecase AI App: From RAG to AI Agents and MCP Servers https://medium.com/@gurubuxgill07/building-a-multi-usecase-ai-app-from-rag-to-ai-agents-and-mcp-servers-bd8e5ead2620 | |||
| 20:31 | The Void Gazes Back: Do Chatbots Dream of a Personality? https://medium.com/@solidgoldmagikarp/the-void-gazes-back-do-chatbots-dream-of-a-personality-c5736537ec7f | |||
| 20:09 | LLM Rabbit Hole https://medium.com/@skintik/llm-rabbit-hole-5bb5fa4c0fe1 | |||
| 19:31 | Tokens, Embeddings and Positional Encoding — The Foundations of Transformer (Part 1) https://medium.com/@malickiart/tokens-embeddings-and-positional-encoding-the-foundations-of-transformer-part-1-9ec19e531436 | |||
| 19:09 | Intelligence, Minds & Machines Ep 7 — What did GPT-5 Score on the HLE Benchmark? https://medium.com/@ceocrispychips/intelligence-minds-machines-ep-7-what-did-gpt-5-score-on-the-hle-benchmark-0b91648ec776 | |||
| 19:06 | Is Google DeepMind — Mixture of Recursions replacing Transformers Architecture? https://shilpathota.medium.com/is-google-deepmind-mixture-of-recursions-replacing-transformers-architecture-6f6b3b0d2c52 | |||
| 19:04 | LLM-Powered SharePoint Bot for an Australian Property Developer https://s2datasystems.medium.com/llm-powered-sharepoint-bot-for-an-australian-property-developer-12cd4b0c3e34 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124