LLM News and Articles
| Sunday, 2025-10-19 | ||||
| 14:01 | Adding Empathy to Agentic AI https://ai.gopubby.com/adding-empathy-to-agentic-ai-cedc76b4a53b | |||
| 13:55 | Retrieval-Augmented Generation: Building a Verifiable Question-Answering System with the CIA… https://medium.com/@k.ulgen90/retrieval-augmented-generation-building-a-verifiable-question-answering-system-with-the-cia-1b1399a00b21 | |||
| 13:53 | Retrieval-Augmented Generation: CIA Factbook ile Doğrulanabilir Soru-Cevap Sistemi https://medium.com/@k.ulgen90/retrieval-augmented-generation-cia-factbook-ile-do%C4%9Frulanabilir-soru-cevap-sistemi-c7ed19f9e666 | |||
| 13:33 | When should Safety Guardrails Appear in the AI system pipeline? https://medium.com/@vbsowmya/when-should-safety-guardrails-appear-in-the-ai-system-pipeline-66257e0afdd7 | |||
| 12:29 | Image search using open source image embedding model. https://medium.com/@ctrlcvprogrammer/image-search-using-open-source-image-embedding-model-0746f5f1556d | |||
| 12:22 | How Does ChatGPT Actually Work? Explained in Plain English https://medium.com/@johirbuet/how-does-chatgpt-actually-work-explained-in-plain-english-dfee02637d3d | |||
| 12:22 | What Is Generative AI? A Simple Guide for Non-Techies https://medium.com/@johirbuet/what-is-generative-ai-a-simple-guide-for-non-techies-05816b0b3772 | |||
| 12:19 | Anthropic's Jack Clark is drawing White House ire https://www.wsj.com/tech/ai/the-fight-over-whose-ai-monster-is-scariest-41a43193 | |||
| 12:03 | Training Your Own ChatGPT on Google Collab https://medium.com/@binarybrain.sahil/training-your-own-chatgpt-on-google-collab-75c33b755e3b | |||
| 12:01 | What I’ve been reading this week ending 19 October 2025 https://jchyip.medium.com/what-ive-been-reading-this-week-ending-19-october-2025-1ec47b5436d5 | |||
| 11:59 | The Interconnected Evolution: The Intelligent Continuum: Exploring AI, ML, GenAI, LLMs, and Agentic… https://medium.com/@sangitapokhrel911/the-interconnected-evolution-the-intelligent-continuum-exploring-ai-ml-genai-llms-and-agentic-55ef60239793 | |||
| 11:30 | OpenAI researcher announced GPT-5 math breakthrough that never happened https://the-decoder.com/leading-openai-researcher-announced-a-gpt-5-math-breakthrough-that-never-happened/ | |||
| 11:25 | From “Hello, World!” to Python Master — A Journey You Can Start Today… https://python.plainenglish.io/from-hello-world-to-python-master-a-journey-you-can-start-today-f8fb65b69870 | |||
| 11:17 | Choosing the Right LLM: Your Guide to Picking the Perfect AI Brain https://medium.com/coding-nexus/choosing-the-right-llm-your-guide-to-picking-the-perfect-ai-brain-0a01522b755c | |||
| 11:10 | Part 2 — From Code to Conversation: Designing the Gradio Interface for a Tangible AI Experience https://medium.com/@garryosborne/part-2-from-code-to-conversation-designing-the-gradio-interface-for-a-tangible-ai-experience-2d2094f71b8d | |||
| 10:59 | The Best University Courses to Learn AI in 2025 https://medium.com/@unverciftci/the-best-university-courses-to-learn-ai-in-2025-2ae7e2ed44fd | |||
| 10:43 | Specification-Driven Development in the AI Era: Writing Code with Markdown https://kim-jangwook.medium.com/specification-driven-development-in-the-ai-era-writing-code-with-markdown-9cd2586710fd | |||
| 10:40 | AI in the Cloud for Engineers: Let’s Build with .NET & LLMs! https://medium.com/@armking/ai-in-the-cloud-for-engineers-lets-build-with-net-llms-3fe902745802 | |||
| 10:06 | # Building a Local AI App with Spring Boot and Ollama Using WebClient https://medium.com/@idiotN/building-a-local-ai-app-with-spring-boot-and-ollama-using-webclient-2025-guide-d939819c8b66 | |||
| 09:55 | Trapped in “Today”: The Story of H.M. and Its Curious Connection to AI https://medium.com/@berry-jelly/trapped-in-today-the-story-of-h-m-and-its-curious-connection-to-ai-23d0b217b04f | |||
| 09:36 | Generative AI Unveiled: Navigating Between Facts and Fiction https://medium.com/@jervisaldanha/generative-ai-unveiled-navigating-between-facts-and-fiction-1a16ac3b61c8 | |||
| 09:25 | Claude Haiku 4.5: The Small Model That Eats Latency For Breakfast https://medium.com/@rogt.x1997/claude-haiku-4-5-the-small-model-that-eats-latency-for-breakfast-fd84b8f27d07 | |||
| 08:56 | Inference in Normal Form — Bridging LLM Tricks and Deep Structure https://medium.com/@omanyuk/inference-in-normal-form-bridging-llm-tricks-and-deep-structure-95dd928d6a09 | |||
| 08:45 | Chapter 2.2 — Causal Attention: Why GPT Doesn’t Peek Ahead https://medium.com/@vadidsadikshaikh/chapter-2-2-causal-attention-why-gpt-doesnt-peek-ahead-7172f8e98426 | |||
| 08:30 | The Cognitive Debt of offloading software development to AI https://medium.com/@naveenfy/the-cognitive-debt-of-offloading-software-development-to-ai-c012963542d5 | |||
| 08:04 | Bir Modelin Dil Öğrenme Süreci Tokenizer ile Başlar https://medium.com/hsd-ktu/bir-modelin-dil-%C3%B6%C4%9Frenme-s%C3%BCreci-tokenizer-ile-ba%C5%9Flar-f61f6fbb3933 | |||
| 08:01 | Agentic Context Engineering (ACE): Fine Tune or allow LLMs to build their own playbooks? https://medium.com/@martinkeywood/agentic-context-engineering-ace-fine-tune-or-allow-llms-to-build-their-own-playbooks-06f8685a6bf9 | |||
| 07:49 | Recursive Language Models (RLMs) https://medium.com/@yiyichanmyaewinshein/recursive-language-models-rlms-fb7af174aab4 | |||
| 07:34 | Why are Graphic Cards more suitable for LLM models than CPUs? https://bilalkazim.medium.com/why-are-graphic-cards-more-suitable-for-llm-models-than-cpus-cb821376223e | |||
| 07:32 | The Agentic Imperative: Gemini 2.5 Flash in Advanced Multi-Agent Systems https://medium.com/@frankmorales_91352/the-agentic-imperative-gemini-2-5-flash-in-advanced-multi-agent-systems-1f4bbfb5ea64 | |||
| 07:09 | Why “Move Fast” Is Still may be a great strategy that works? https://medium.com/agileinsider/why-move-fast-is-still-may-be-a-great-strategy-that-works-95080d5a48a8 | |||
| 07:05 | The AI We Love vs. The AI We Use: Character-Driven Innovation in AI Agent Technology https://medium.com/@okuwakim/the-ai-we-love-vs-the-ai-we-use-character-driven-innovation-in-ai-agent-technology-d8c7c32bb0c2 | |||
| 06:56 | Build an “Analytics GPT” (MyGPT on ChatGPT) that talks to Redshift and Slack https://medium.com/@mitradeep.kalipi/build-an-analytics-gpt-mygpt-on-chatgpt-that-talks-to-redshift-and-slack-80b7ae120d1f | |||
| 06:48 | Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs https://www.marktechpost.com/2025/10/18/weak-for-strong-w4s-a-novel-reinforcement-learning-algorithm-that-trains-a-weak-meta-agent-to-design-agentic-workflows-with-stronger-llms/ | |||
| 06:37 | Perplexity, Your reliable research Assistant https://medium.com/@s.niroshan23/perplexity-your-reliable-research-assistant-acf7fe070adb | |||
| 06:33 | How AI Agents Think, Plan, and Act ? Let’s Build One with LangChain https://medium.com/@sudarshanpoudel/how-ai-agents-think-plan-and-act-lets-build-one-with-langchain-6159bf26ca0d | |||
| 06:33 | Building an LLM from Scratch — How Transformers Learn, Think, and Generate https://medium.com/@nileshsalpe/building-an-llm-from-scratch-how-transformers-learn-think-and-generate-fa43f7841024 | |||
| 05:49 | Paris: The First Decentralised Diffusion Model That Doesn’t Need a Supercomputer https://medium.com/coding-nexus/paris-the-first-decentralised-diffusion-model-that-doesnt-need-a-supercomputer-07a9882eca45 | |||
| 05:39 | Microsoft AI Proposes BitNet Distillation (BitDistill): A Lightweight Pipeline that Delivers up to 10x Memory Savings and about 2.65x CPU Speedup https://www.marktechpost.com/2025/10/18/microsoft-ai-proposes-bitnet-distillation-bitdistill-a-lightweight-pipeline-that-delivers-up-to-10x-memory-savings-and-about-2-65x-cpu-speedup/ | |||
| 04:07 | Agentic Context Engineering: A Formal Step Toward Self-Improving Language Model Cognition https://medium.com/@junaaak/agentic-context-engineering-a-formal-step-toward-self-improving-language-model-cognition-fc67634366ea | |||
| 03:33 | Exploring K(I)V(I) quantization in LLMs https://medium.com/@banfic.nenad/exploring-k-i-v-i-quantization-in-llms-1aca3e25c9d1 | |||
| 03:01 | How to Use Qwen 3 Coder in Cursor: A Complete Guide https://medium.com/@marketing_novita.ai/how-to-use-qwen-3-coder-in-cursor-a-complete-guide-22713f0e12eb | |||
| 02:52 | How LLMs internally works? https://chanduthedev.medium.com/how-llms-internally-works-67599e4311c8 | |||
| 02:29 | The 7 Secret Knobs That Control Every AI Response https://pub.towardsai.net/the-7-secret-knobs-that-control-every-ai-response-81f8f56ffd16 | |||
| 02:07 | Claude Skills, The Operating System for AI Agents https://medium.com/@bijit211987/claude-skills-the-operating-system-for-ai-agents-9cadb1881b90 | |||
| 01:33 | Part 2 — No-Meta Intelligence: From External Control to Intrinsic Purpose https://medium.com/@omanyuk/part-2-no-meta-intelligence-from-external-control-to-intrinsic-purpose-b19dfb509428 | |||
| 01:23 | From LLMs to Agentic AI: Understanding the Evolution of Intelligent Workflows in 2025 https://medium.com/@SarahMorino/from-llms-to-agentic-ai-understanding-the-evolution-of-intelligent-workflows-in-2025-8a1458fa51a6 | |||
| 01:02 | Dynamic AI Agents Orchestration: A New Paradigm — Part 3 https://levelup.gitconnected.com/dynamic-ai-agents-orchestration-a-new-paradigm-part-3-c27a0fdd0bfc | |||
| 00:56 | Building Production LLM Infrastructure with KServe v0.15 https://medium.com/@simardeep.oberoi/building-production-llm-infrastructure-with-kserve-v0-15-a5eecb2311bc | |||
| 00:10 | Using LLM Locally on Mobile (Easily) https://medium.com/@chiragmohod28/using-llm-locally-on-mobile-easily-f5392e74a451 | |||
| 00:05 | Real Experience on Tokyo Streets: Why Shared Bikes Don’t Take Off in Japan https://ai-engineering-trend.medium.com/real-experience-on-tokyo-streets-why-shared-bikes-dont-take-off-in-japan-4f4dc4a3f287 | |||
| Saturday, 2025-10-18 | ||||
| 23:59 | The art of prompt engineering https://medium.com/@tanujranjith/the-art-of-prompt-engineering-ac073a4ff433 | |||
| 23:02 | Beyond Imitation: How Agents Can Learn From Their Own ‘Early Experience’ https://pub.towardsai.net/beyond-imitation-how-agents-can-learn-from-their-own-early-experience-906f588c5a25 | |||
| 22:34 | Azure AI Agent Service https://billtcheng2013.medium.com/azure-ai-agent-service-43dc5b5e5eaf | |||
| 22:33 | Beyond Trial and Error: How Reasoning Models Transform Prompt Development https://medium.com/@scott.guida/beyond-trial-and-error-how-reasoning-models-transform-prompt-development-4a9811f25c63 | |||
| 22:19 | The Prompt Engineer’s Playbook: A Test-Driven Framework for Production-Ready AI https://medium.com/@scott.guida/the-prompt-engineers-playbook-a-test-driven-framework-for-production-ready-ai-58b06bb80e46 | |||
| 22:11 | RAG Explained: How LLMs Actually Learns Beyond Its Training Data https://medium.com/@adityasinghudemy/rag-explained-how-llms-actually-learns-beyond-its-training-data-824d8c0a3e2c | |||
| 21:46 | CLIP — Learning transferable visual models from natural language supervision https://medium.com/@SuriNaren/clip-learning-transferable-visual-models-from-natural-language-supervision-31749e5d1ed8 | |||
| 21:21 | The Design Space of LLM-Based AI Coding Assistants [pdf] https://lau.ucsd.edu/pubs/2025_analysis-of-90-genai-coding-tools_VLHCC.pdf | |||
| 21:18 | Codebase Analyzer with Semantic Kernel — Part 8 https://medium.com/@andrea.bresolin/codebase-analyzer-with-semantic-kernel-part-8-59cc8290540a | |||
| 21:18 | Codebase Analyzer with Semantic Kernel — Part 7 https://medium.com/@andrea.bresolin/codebase-analyzer-with-semantic-kernel-part-7-e14e86d20501 | |||
| 20:34 | Andrej Karpathy on X: "My pleasure to come on Dwarkesh https://twitter.com/karpathy/status/1979644538185752935 | |||
| 20:16 | How to Trust Your Data Without Manual Checks https://medium.com/@tomskiecke/how-to-trust-your-data-without-manual-checks-c9f27bd4ceb0 | |||
| 20:05 | The Decade-Long March of AI Agents: Karpathy’s Caution and Truth https://ai-engineering-trend.medium.com/the-decade-long-march-of-ai-agents-karpathys%E5%86%B7%E6%B0%B4-and-truth-cef1de15ae36 | |||
| 19:36 | What Sora 2 Says About the AI Bubble? https://medium.com/@francesco.cozzolino/what-sora-2-says-about-the-ai-bubble-e1853f7a6035 | |||
| 19:17 | Outsourcing Morality https://medium.com/@nityaakalra5/outsourcing-morality-fe975e317268 | |||
| 19:15 | LLM Poisoning: The Hidden Threat That Takes Just 250 Documents to Compromise Any AI Model https://medium.com/@hychandima2000/llm-poisoning-the-hidden-threat-that-takes-just-250-documents-to-compromise-any-ai-model-7d58d68d9829 | |||
| 18:51 | Kendi AI Ajanınızın Beynini Kodlamak: LangGraph ve Gemini ile Otonom Karar Alma https://medium.com/@enginbozaba/kendi-ai-ajan%C4%B1n%C4%B1z%C4%B1n-beynini-kodlamak-langgraph-ve-gemini-ile-otonom-karar-alma-da9109839806 | |||
| 18:21 | 6 Core LLM Architectures Explained: The Foundation of AI Innovation in 2025 https://medium.com/@SarahMorino/6-core-llm-architectures-explained-the-foundation-of-ai-innovation-in-2025-28225985ec51 | |||
| 18:02 | More Ethics for More LLMs: What It Really Takes to Build Responsible AI https://pub.towardsai.net/more-ethics-for-more-llms-what-it-really-takes-to-build-responsible-ai-c335ab00b6cb | |||
| 17:24 | Supermemory: The Missing Link Between AI and Human Intelligence https://medium.com/@manishmeshram-in/supermemory-the-missing-link-between-ai-and-human-intelligence-503e9f2075f4 | |||
| 17:02 | Reward Hacking in LLMs https://pub.towardsai.net/reward-hacking-in-llms-4343ab333482 | |||
| 16:49 | Stop Burning Money on AI: The Math Behind Smart Automation https://medium.com/@muhamad99t/stop-burning-money-on-ai-the-math-behind-smart-automation-20f2343d5b2e | |||
| 16:21 | AI Model rate Vs Men Hour rate https://medium.com/@pratim.office/ai-model-rate-vs-men-hour-rate-b2a15f8355b0 | |||
| 16:19 | Meta-Cognition in AI: Enhancing Decision-Making with Symbolic Reasoning and Expert Knowledge https://medium.com/@sanderink.ursina/meta-cognition-in-ai-enhancing-decision-making-with-symbolic-reasoning-and-expert-knowledge-7f10a19b4376 | |||
| 16:05 | Baidu Released a 0.9B Parameter Little Monster, Outperforming GPT-4o and Gemini 2.5 https://ai-engineering-trend.medium.com/baidu-released-a-0-9b-parameter-little-monster-outperforming-gpt-4o-and-gemini-2-5-e6aedab7b3e0 | |||
| 16:01 | Building Smart AI Agents for Legal Tech: A Practitioner’s Playbook https://pub.towardsai.net/building-smart-ai-agents-for-legal-tech-a-practitioners-playbook-af7c8304db8a | |||
| 15:59 | Claude Skills Explained https://medium.com/@rajaganesh_27122/claude-skills-explained-3a588b8ab619 | |||
| 15:58 | Statistical Language Modeling Explained for Beginners https://medium.com/@tauseef6462/statistical-language-modeling-explained-for-beginners-c7893cd2e199 | |||
| 15:49 | Chapter 2.1 — Self-Attention Explained https://medium.com/@vadidsadikshaikh/chapter-2-1-self-attention-explained-9ef902c12fde | |||
| 15:40 | Anthropic Just Launched Their First ‘Cheap’ Model In Over A Year https://generativeai.pub/anthropic-just-launched-their-first-cheap-model-in-over-a-year-495272ce5615 | |||
| 15:36 | Going from Large Language Model to Chatbot https://medium.com/@rylanberry/going-from-large-language-model-to-chatbot-9f55a18e8e15 | |||
| 15:33 | Stanford Just Solved One of AI’s Biggest Mysteries: Why ChatGPT Keeps Repeating Itself https://medium.com/@thrishank007/stanford-just-solved-one-of-ais-biggest-mysteries-why-chatgpt-keeps-repeating-itself-81f19ef732e4 | |||
| 15:24 | The Next Billion Dollar Opportunity: Fixing AI Hallucinations https://medium.com/@VinodShips/the-next-billion-dollar-opportunity-fixing-ai-hallucinations-99363891571f | |||
| 15:20 | Review — Is Educative a Good Place to Learn AI and LLM Engineering? https://medium.com/javarevisited/review-is-educative-a-good-place-to-learn-ai-and-llm-engineering-c363aa2967d6 | |||
| 15:13 | LLM Poisoning: The Invisible Vulnerability That 250 Documents Exposed https://medium.com/@naren3883/llm-poisoning-the-invisible-vulnerability-that-250-documents-exposed-3a779873de02 | |||
| 15:12 | 4 Hours, 0, One Script: The Nanochat Blueprint https://medium.com/write-a-catalyst/4-hours-100-one-script-the-nanochat-blueprint-b294d64f76ed | |||
| 15:11 | How to Fine-Tune LLMs Locally: The Complete LoRA Guide https://medium.com/@matteo28/how-to-fine-tune-llms-locally-the-complete-lora-guide-420fe9e1278d | |||
| 14:42 | Microsoft's Biggest Bet on Agents... Yet https://www.llmwatch.com/p/microsofts-biggest-bet-on-agents | |||
| 14:32 | Attention! — AI, Weil & Heidegger https://medium.com/@Mathowen/attention-ai-weil-heidegger-4cc6a4920195 | |||
| 14:30 | Understanding LoRA: Fine-Tuning Large Models Without Breaking the GPU https://medium.com/@arjunagarwal899/understanding-lora-fine-tuning-large-models-without-breaking-the-gpu-2ecd097192fa | |||
| 14:18 | Inside nanochat Part 2: Understanding Architecture https://medium.com/@akdemir_bahadir/inside-nanochat-part-2-understanding-architecture-6290bb81374d | |||
| 14:07 | ADK 1.15 Brings Google Maps Grounding — and It’s a Game-Changer for AI Agents https://medium.com/@gabi.preda/adk-1-15-brings-google-maps-grounding-and-its-a-game-changer-for-ai-agents-00ab34d09f6e | |||
| 13:57 | SwiftTransformer: A New LLM Transformer Design https://medium.com/@songnian/swifttransformer-a-new-llm-transformer-design-53f7f7f3623e | |||
| 13:44 | A Human Like Committee Reasoning https://medium.com/@songnian/a-human-like-committee-reasoning-fb8e4ed924aa | |||
| 13:16 | The Silent Threat: Why a Tiny Drop of Poison Could Bring Down the Biggest AI https://medium.com/@sonejishomya/the-silent-threat-why-a-tiny-drop-of-poison-could-bring-down-the-biggest-ai-e8ee312a67e9 | |||
| 11:45 | Poisoning Attacks on LLMS Require a Near-Constant Number of Poison Samples (Paper Review) https://medium.com/@hiraahmad935/poisoning-attacks-on-llms-require-a-near-constant-number-of-poison-samples-paper-review-e22cf2178a98 | |||
| 11:45 | Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples (Paper Review) https://pub.towardsai.net/poisoning-attacks-on-llms-require-a-near-constant-number-of-poison-samples-paper-review-e22cf2178a98 | |||
| 11:30 | Production RAG Implementation Guide https://medium.com/@avinash1216kapil/production-rag-implementation-guide-6c1fa93b0eda | |||
| 10:52 | RAG Explained: How to Connect ChatGPT With Your Own Data — A Complete Developer’s Guide https://vegapunk.medium.com/rag-explained-how-to-connect-chatgpt-with-your-own-data-a-complete-developers-guide-e7c5a79c50f6 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124