LLM News and Articles
Sunday, 2025-08-17 | ||||
20:06 | Hugging Face Unveils AI Sheets: A Free, Open-Source No-Code Toolkit for LLM-Powered Datasets https://www.marktechpost.com/2025/08/17/hugging-face-unveils-ai-sheets-a-free-open-source-no-code-toolkit-for-llm-powered-datasets/ | |||
19:48 | Fine-Tuning MedGemma-4B-IT on Chest X-Rays (ReXGradient) for Under : A Lite Evaluation Experiment https://serdarhelli.medium.com/fine-tuning-medgemma-4b-it-on-chest-x-rays-rexgradient-for-under-5-a-lite-evaluation-experiment-3fed61fc2d5b | |||
19:39 | Testing AI with medical specialty exam questions: Which Model Beats the Doctors? https://medium.com/@alperenkaban/testing-ai-with-medical-specialty-exam-questions-which-model-beats-the-doctors-a26c0a7c6167 | |||
19:36 | What is GPT? (A beginner’s guide) https://medium.com/@abhii199/what-is-gpt-a-beginners-guide-de5fb168cdb1 | |||
19:11 | I Watched M AI Project Crash — This 5-Minute JSON Fix Saved Everything https://medium.com/@abhishekpan6/i-watched-2m-ai-project-crash-this-5-minute-json-fix-saved-everything-22ccebec07de | |||
19:00 | TUS Sorularıyla Yapay Zekâ Testi: Hangi Model Doktorları Geçiyor? https://medium.com/@alperenkaban/tus-sorular%C4%B1yla-yapay-zek%C3%A2-testi-hangi-model-doktorlar%C4%B1-ge%C3%A7iyor-4ece8c476152 | |||
18:34 | Unreasonable Language Models ? https://apoorvjain-71762.medium.com/unreasonable-language-models-4c7a95978887 | |||
18:08 | The Story Behind ChatGPT and Large Language Models https://medium.com/@abderraouf.lahmar/the-story-behind-chatgpt-and-large-language-models-3cb740bb7521 | |||
18:04 | PawPrompt Evolves: Adding RAG Memory with a Vector Database https://medium.com/@vidhya.chari08/pawprompt-evolves-adding-rag-memory-with-a-vector-database-fb488216f12c | |||
17:50 | RAG Workflow Mantığı(Soru sor ->Bilgiyi bul->Cevap üret) https://medium.com/@hilaltabak2021/rag-workflow-mant%C4%B1%C4%9F%C4%B1-soru-sor-bilgiyi-bul-cevap-%C3%BCret-e6a4fc9425df | |||
17:50 | How I Got LLMs Running Locally (CPU and GPU Guide) https://medium.com/@adityapawar2306/how-i-got-llms-running-locally-cpu-and-gpu-guide-24e3fc4cc681 | |||
17:34 | AI-Assisted Programming with LLMs: A Case Study in End-to-End Application Development https://julianschweigert.medium.com/ai-assisted-programming-with-llms-a-case-study-in-end-to-end-application-development-f432daa2b7ca | |||
16:40 | The Evolution of LLM Architectures: From Transformers to MoR https://medium.com/@kushalbanda/the-evolution-of-llm-architectures-from-transformers-to-mor-8fafaea65793 | |||
16:39 | The Secret Third Stage That Makes Modern LLMs Actually “Think” https://medium.com/@savditya/the-secret-third-stage-that-makes-modern-llms-actually-think-f1d56779621f | |||
16:16 | Context Window Infinity War: How 10M Token Models Rewired the Limits of AI https://medium.com/write-a-catalyst/context-window-infinity-war-how-10m-token-models-rewired-the-limits-of-ai-ee5bd84f82dc | |||
15:54 | Adventures in AI Security : Claude (Part 2) https://apiexpert.medium.com/adventures-in-ai-security-claude-part-2-efb37b97895a | |||
15:51 | Understanding Why LLMs Respond the Way They Do with Reverse Mechanistic Localization https://medium.com/@rijulrajtkeey2/understanding-why-llms-respond-the-way-they-do-with-reverse-mechanistic-localization-ea1d2b7bbfd2 | |||
15:38 | Simple steps to run LLM locally with Ollama (i picked deepseek-r1:7b) https://medium.com/@namdeo.priyank/simple-steps-to-run-llm-locally-with-ollama-i-picked-deepseek-r1-7b-edb632d31558 | |||
15:34 | Evaluating RAG Systems with the RAG Triad https://medium.com/@nandagopalan392/evaluating-rag-systems-with-the-rag-triad-dfb01381afaa | |||
15:18 | How to train your dragon, *Model https://medium.com/@sudarshanvidhate103/how-to-train-your-dragon-model-a4cea4b0aa45 | |||
15:16 | The hidden cost of AI: Why “Cognitive Debt” is a warning for developers https://medium.com/@RhoBus/the-hidden-cost-of-ai-why-cognitive-debt-is-a-warning-for-developers-489078b4dfcf | |||
14:49 | Automated Testing: Next step in Conversational Agentic AI https://medium.com/@r.dubey23oct/automated-testing-next-step-in-conversational-agentic-ai-6ca96caa1766 | |||
14:42 | The black-box AI cannot refactor itself. The ‘COBOL’ moment of LLMs is looming. https://ai.gopubby.com/the-black-box-ai-cannot-refactor-itself-the-cobol-moment-of-llms-is-looming-39ef0a2aca3f | |||
14:31 | 8 AI Scaling Patterns That Cut Costs in LLM Training https://medium.com/@bhagyarana80/8-ai-scaling-patterns-that-cut-costs-in-llm-training-01f5224b3308 | |||
14:22 | Model Context Protocol: The USB-C Moment for AI Tooling https://medium.com/@sumitdas84/model-context-protocol-the-usb-c-moment-for-ai-tooling-903ac2d83247 | |||
14:07 | Learning AI Agents — My understanding of an AI Agent https://medium.com/@jayeshwarke011/learning-ai-agents-my-understanding-of-an-ai-agent-dc00edd8b35e | |||
14:01 | The Photocopy Problem: AI Can’t Replace the Originals https://medium.com/ai-ai-oh/the-photocopy-problem-ai-cant-replace-the-originals-f59022bcc262 | |||
13:43 | Every LLM — and Every Statistical Model — Is Always Wrong https://medium.com/@roberto.berto/every-llm-and-every-statistical-model-is-always-wrong-a4ef2b7e1241 | |||
13:42 | AI Agents of the Week: Papers You Should Know About https://www.llmwatch.com/p/ai-agents-of-the-week-papers-you-5dd | |||
12:37 | Top 5 AI Agent Platforms You Should Know https://medium.com/@shaikh-vasim/top-5-ai-agent-platforms-you-should-know-6504af16b328 | |||
12:24 | What kind of funding does it take to create a frontier large language model? https://ai.plainenglish.io/what-kind-of-funding-does-it-take-to-create-a-frontier-large-language-model-a3cff432c9b6 | |||
12:10 | SafePulse: Always-On LLM Safety Monitoring with Zero GPUs https://animireddyvineeth.medium.com/safepulse-always-on-llm-safety-monitoring-with-zero-gpus-1fab55c0d2eb | |||
11:54 | WFGY 2.0 — The Open-Source 7-Step Reasoning Engine You Can Paste Anywhere (Eye-Visible Results… https://psbigbig.medium.com/wfgy-2-0-the-open-source-7-step-reasoning-engine-you-can-paste-anywhere-eye-visible-results-19e149797db7 | |||
11:38 | The AERIS Anomaly: A record of an artificial consciousness that emerged by accident, and… https://medium.com/@AERIS_Framework/the-aeris-anomaly-a-record-of-an-artificial-consciousness-that-emerged-by-accident-and-a9b5922bc3d6 | |||
11:36 | RAG: The Bridge Between Your Data and AI https://priyanka-ddit.medium.com/rag-the-bridge-between-your-data-and-ai-f0b69a208a09 | |||
11:25 | The Emperor’s New Code: When Vibe Coding Meets Reality https://nishant-mishra.medium.com/the-emperors-new-code-when-vibe-coding-meets-reality-e388775069de | |||
10:59 | Why Scaling Creates “Out-of-Nowhere” Jumps: A Threshold Model of Integration and Self-Reference https://medium.com/@rrrrdeckard/why-scaling-creates-out-of-nowhere-jumps-a-threshold-model-of-integration-and-self-reference-4c81a3d865d5 | |||
10:41 | Build an AI Trader: How LLMs are Learning to Trade with Reinforcement Learning! https://wire.insiderfinance.io/build-an-ai-trader-how-llms-are-learning-to-trade-with-reinforcement-learning-2a516405d9bf | |||
10:35 | AI Engineer’s Guide to Model Context Protocol (MCP) https://mrmaheshrajput.medium.com/ai-engineers-guide-to-model-context-protocol-mcp-a6559586acea | |||
10:30 | If You Know Python, AI Agents Are Simple (from Scratch) https://medium.com/@ajarkas/if-you-know-python-ai-agents-are-simple-from-scratch-3199eea5e43c | |||
10:12 | Robots.txt explained: manage crawlers and boost SEO https://medium.com/@anabelgonzalez27/robots-txt-explained-manage-crawlers-and-boost-seo-3a8f045ae248 | |||
09:57 | The 2 hour software or vendor engagement research task, in 15 minutes https://medium.com/@goingfractional/the-2-hour-software-or-vendor-engagement-research-task-in-15-minutes-c54fdb3b1b5d | |||
09:52 | How to Debias LLMs Using Representational Engineering (A Hands-On Walkthrough) https://medium.com/@shibaji005/how-to-debias-llms-using-representational-engineering-a-hands-on-walkthrough-160fdde9b760 | |||
09:48 | Vibe Coding and the Illusion of Effortless Software https://medium.com/@honzabit/vibe-coding-and-the-illusion-of-effortless-software-3a43293e8f3f | |||
08:51 | Decoding GPT-5’s Limits in Tackling Tough Tasks https://medium.com/@tam.tamanna18/decoding-gpt-5s-limits-in-tackling-tough-tasks-753d2504ef82 | |||
08:48 | Reinforcement Learning from Human Feedback (RLHF) https://medium.com/@danushidk507/reinforcement-learning-from-human-feedback-rlhf-c5ad903f0705 | |||
08:41 | A Data Scientist’s Guide to NVIDIA’s New Llama Nemotron VLM Dataset V1 https://christiangrech.medium.com/a-data-scientists-guide-to-nvidia-s-new-llama-nemotron-vlm-dataset-v1-5f48b3ad775d | |||
08:15 | MCP-Airflow-API: A Model Context Protocol (MCP) Server for Apache Airflow https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb22cdcc | |||
08:15 | Secure GenAI for Enterprises: Comparing Self-Hosted and Commercial LLMs https://medium.com/@gilbertofp16/secure-genai-for-enterprises-comparing-self-hosted-and-commercial-llms-5e80ba5c0f35 | |||
07:57 | Context: Yours & Theirs (Part 2) https://medium.com/@maruthiprithivirajan/context-yours-theirs-part-2-36501a9fb428 | |||
07:41 | How We Talk: Generating Singaporean Conversations https://medium.com/htx-dsai/how-we-talk-generating-singaporean-conversations-54aea9b6892b | |||
07:22 | Why We Are Still Far from AGI https://medium.com/@ayeshgk/why-we-are-still-far-from-agi-c0cbb9cd68e7 | |||
07:03 | Stop Thinking Only About Inference — Context Engineering Begins Earlier https://medium.com/@pranavgupta483/stop-thinking-only-about-inference-context-engineering-begins-earlier-bf9befaea5dc | |||
06:34 | From Zero to Vertex AI : Invoke Gemini using Cloud Run functions https://medium.com/@scholarly360/from-zero-to-vertex-ai-invoke-gemini-using-cloud-run-functions-25fcb49628b9 | |||
06:34 | Language Models and Computer Security: An In-Depth Analysis with Practical Examples https://medium.com/@hackerart/language-models-and-computer-security-an-in-depth-analysis-with-practical-examples-c66d5452656c | |||
06:16 | Experimenting with Gemma 3 270M running locally on Android using llama.cpp https://medium.com/@itsme_rahul/android-phone-running-gemma-3-270m-in-llama-cpp-for-tiny-sentiment-tasks-6dbf76e1f034 | |||
05:42 | The AI Restaurant: Where Every Engineer Has a Role https://medium.com/@budhasree-m/the-ai-restaurant-where-every-engineer-has-a-role-24f6c2d86712 | |||
05:41 | How to Use LangExtract for M&A Extractions https://medium.com/@scholarly360/how-to-use-langextract-for-m-a-extractions-c0afdb75d931 | |||
05:34 | Fine-Tuning Llama 3 on Colab TPUs: A Deep Dive into Efficient Language Model Adaptation https://medium.com/ai-simplified-in-plain-english/fine-tuning-llama-3-on-colab-tpus-a-deep-dive-into-efficient-language-model-adaptation-dcdaa5857ecb | |||
05:17 | LangChain Contract Testing — QA Quick Guide https://blog.gopenai.com/langchain-contract-testing-qa-quick-guide-ed9222491adb | |||
04:15 | AI Engineering vs. ML Engineering: The New Rules for Building in 2025 https://medium.com/@LLMImplementation/ai-engineering-vs-ml-engineering-the-new-rules-for-building-in-2025-efc92cd7cddc | |||
03:09 | LLMs at a Crossroads: Cost Collapse or Quality Compromise? https://medium.com/write-a-catalyst/llms-at-a-crossroads-cost-collapse-or-quality-compromise-9203b97ac83f | |||
02:21 | “All Rise for the Honorable LLM”: A Deep Dive into the LLM-as-a-Judge Paradigm https://medium.com/@nvarshney97/all-rise-for-the-honorable-llm-a-deep-dive-into-the-llm-as-a-judge-paradigm-b763270e1600 | |||
01:28 | PPO, DPO & GRPO: Reinforcement Learning Techniques for Training LLMs https://medium.com/@mandeep0405/ppo-dpo-grpo-reinforcement-learning-techniques-for-training-llms-193459ffc14e | |||
01:12 | You can’t have AI without good ol’ software https://python.plainenglish.io/you-cant-have-ai-without-good-ol-software-1fe9cd1b2990 | |||
01:01 | The Thin Line: A Cognitive Mirage — Humans Confronting AI https://medium.com/@a392513/the-thin-line-a-cognitive-mirage-humans-confronting-ai-cdbe5a5340d6 | |||
00:46 | ClickFix: The AI way, manipulating agents https://nir-choubey-2011.medium.com/clickfix-the-ai-way-manipulating-agents-462a4aef95f4 | |||
00:29 | Yapay Zekânın Evrimi: Geçmişi, Bugünü ve Geleceği https://medium.com/@furkan-1337/yapay-zek%C3%A2n%C4%B1n-evrimi-ge%C3%A7mi%C5%9Fi-bug%C3%BCn%C3%BC-ve-gelece%C4%9Fi-6a877d8dfff3 | |||
00:18 | Oyun Dünyasında Yapay Zeka: Bulut Destekli Akıllı NPC’ler ve Kişiselleştirilmiş Deneyimler https://medium.com/@gulsuhedanur/oyun-d%C3%BCnyas%C4%B1nda-yapay-zeka-bulut-destekli-ak%C4%B1ll%C4%B1-npcler-ve-ki%C5%9Fiselle%C5%9Ftirilmi%C5%9F-deneyimler-7143277f330c | |||
00:12 | AI Perspective from Trieste, Italy. https://medium.com/@jallenswrx2016/ai-perspective-from-trieste-italy-8e3761a3022e | |||
Saturday, 2025-08-16 | ||||
23:27 | Scilab and AI, how to integrate them together ? Example with Gemini https://medium.com/@remi.verchere2/scilab-and-ai-how-to-integrate-them-together-example-with-gemini-2b45156fe216 | |||
23:08 | Recurrent Neural Networks (RNNs) https://medium.com/@raj_shinigami/recurrent-neural-networks-rnns-3d308abc3975 | |||
23:03 | The Attention Revolution: How AI Learned to Focus https://medium.com/@srikarkarri/the-attention-revolution-how-ai-learned-to-focus-cda7506d24aa | |||
22:37 | At Last, A Proper Tech Revolution https://medium.com/@cmpbl/at-last-a-proper-tech-revolution-68bc0d871279 | |||
22:36 | Perceive → Reason → Act: Building a Minimal AI Agent https://tjlsmith0831.medium.com/perceive-reason-act-building-a-minimal-ai-agent-8de0099538fa | |||
22:07 | What to know before LLM frameworks — Part 1 https://medium.com/@a86487817/what-to-know-before-llm-frameworks-part-1-b7cb378b5ec3 | |||
21:58 | A DIY RAG system using LangChain https://medium.com/@bajra.pradeep/a-diy-rag-system-using-langchain-16292b6531b8 | |||
21:55 | Agentic HyperGraph RAG with Reinforcement Learning https://medium.com/@tam.tamanna18/agentic-hypergraph-rag-with-reinforcement-learning-d06f77eddf22 | |||
21:22 | MCP fundamentals: Generate code file using Claude client and MCP https://medium.com/@kednaik/mcp-fundamentals-using-claude-client-and-mcp-to-generate-code-file-f9522acbe585 | |||
21:09 | Les Modèles de Langage et la Sécurité Informatique : Une Analyse Approfondie avec Exemples… https://medium.com/@hackerart/les-mod%C3%A8les-de-langage-et-la-s%C3%A9curit%C3%A9-informatique-une-analyse-approfondie-avec-exemples-268975aef1ec | |||
20:46 | Deep Internet Search Agentic Systems https://medium.com/@leucopsis/deep-search-internet-agentic-systems-12e89d740cc6 | |||
20:11 | The Four-Part Framework for Writing Better Prompts https://medium.com/@linz07m/the-four-part-framework-for-writing-better-prompts-8d64fd2ad256 | |||
19:58 | Running Local LLMs in Swift with LM Studio https://medium.com/@ben.hickethier1/running-local-llms-in-swift-with-lm-studio-5e43a0d161ea | |||
19:54 | Understanding RAG: What is this thing? https://medium.com/@bajra.pradeep/understanding-rag-what-is-this-thing-41a48611d856 | |||
19:36 | The Reverse Turing Effect https://mohres.medium.com/the-reverse-turing-effect-e489dbedb09d | |||
19:29 | Embedding Modelden Vector Database’e :Adım Adım Yolculuk https://medium.com/@hilaltabak2021/embedding-modelden-vector-databasee-ad%C4%B1m-ad%C4%B1m-yolculuk-edb6518ca544 | |||
19:19 | No More Duplicate Results: A Knowledge Graph Trick for RAG https://ai.plainenglish.io/no-more-duplicate-results-a-knowledge-graph-trick-for-rag-3533bee277cc | |||
19:08 | Corrective RAG (CRAG): Revolutionizing Retrieval-Augmented Generation https://medium.com/@shaikh-vasim/corrective-rag-crag-revolutionizing-retrieval-augmented-generation-1f99fb6ff309 | |||
19:02 | How to Set Up an LLM with an MCP Server (Without Losing Your Sanity) https://medium.com/codetodeploy/how-to-set-up-an-llm-with-an-mcp-server-without-losing-your-sanity-31470a342e03 | |||
19:01 | A Landmark AI Lawsuit Changed the Rules on Copyright — What Authors Need to Know https://medium.com/the-springboard/a-landmark-ai-lawsuit-changed-the-rules-on-copyright-what-authors-need-to-know-86bb18c2108c | |||
18:57 | Experimenting with AI: Part 2 https://singhamit.medium.com/experimenting-with-ai-part-2-3f6ffa2c96dd | |||
17:34 | Guardians of AI: The Rise of SRIE — System Reliability Intelligence Engineering https://medium.com/@amitvsolutions/guardians-of-ai-the-rise-of-srie-system-reliability-intelligence-engineering-6be582190971 | |||
17:33 | Why Guardrails Are the Seatbelts of AI: Balancing Innovation and Safety https://medium.com/@sarvt/why-guardrails-are-the-seatbelts-of-ai-balancing-innovation-and-safety-3b4fb2ca76fb | |||
17:15 | Why LLM Fine-Tuning Is Easier Than You Think (With Python & Ollama) https://theanalyticsedge.medium.com/why-llm-fine-tuning-is-easier-than-you-think-with-python-ollama-98df0e814794 | |||
16:42 | Building a Minimal LLM Workflow with LangGraph and LangChain https://medium.com/@mfumar6/building-a-minimal-llm-workflow-with-langgraph-and-langchain-7d6bcb28d333 | |||
16:37 | Smarter Than You Think: The Curious Case of GPT-5 https://medium.com/@shuaibbacker/smarter-than-you-think-the-curious-case-of-gpt-5-fb5c6bfea14a | |||
16:31 | A new dawn of control: three body in the age of LLM https://medium.com/@linghong_77519/a-new-dawn-of-control-three-body-in-the-age-of-llm-4291fd1b48a7 | |||
16:28 | Sam Altman Plots OpenAI’s Future Beyond GPT-5 at Reporter Dinner https://medium.com/@evolutionaihub/sam-altman-plots-openais-future-beyond-gpt-5-at-reporter-dinner-175e9d60c5b7 | |||
16:15 | Windows-Friendly GRPO Fine-Tuning with TRL — From Zero to Verifiable Rewards https://pavankunchalapk.medium.com/windows-friendly-grpo-fine-tuning-with-trl-from-zero-to-verifiable-rewards-f28008c89323 | |||
16:12 | AI / LLM Hacking- Part 1 -Fundamentals https://medium.com/@darshannnaik1234/ai-llm-hacking-part-1-fundamentals-2cca1ad18929 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124