LLM News and Articles
Friday, 2025-09-26 | ||||
06:30 | AI revolution: A curse, a trap, or a power boost? https://medium.com/@umitozaydin/ai-revolution-a-curse-a-trap-or-a-power-boost-deed31449d55 | |||
06:22 | From RAG to Real Systems: 10 Must Know GenAI Interview Questions https://medium.com/@rajeshmane711/from-rag-to-real-systems-10-must-know-genai-interview-questions-c313c5791288 | |||
06:22 | Descriptive, Predictive, Prescriptive — Turning ML Into Business Value https://travellingaloud.medium.com/descriptive-predictive-prescriptive-turning-ml-into-business-value-02bfdc914730 | |||
06:19 | Building an AI-powered news app with Langbase SDK https://medium.com/@immairaj/building-an-ai-powered-news-app-with-langbase-sdk-48e2e28d37a0 | |||
06:16 | The Fine-Tuning Advantage: How Custom-Trained Language Models Deliver Superior CX Outcomes https://medium.com/kapture-cx/the-fine-tuning-advantage-how-custom-trained-language-models-deliver-superior-cx-outcomes-4d87d37a3d32 | |||
06:09 | Generative AI Myths, Busted: An Engineer’s Quick Guide https://medium.com/areas-producers/generative-ai-myths-busted-an-engineers-quick-guide-2c19598f6fb3 | |||
06:05 | Why Do Language Models Hallucinate? https://medium.com/areas-producers/why-do-language-models-hallucinate-f0738503571d | |||
05:59 | AutoCodeBench: How Tencent Hunyuan revolutionizes AI programming evaluation https://medium.com/@leivadiazjulio/autocodebench-how-tencent-hunyuan-revolutionizes-ai-programming-evaluation-78addbb1e364 | |||
05:44 | How AI Agents Are Rewriting Workflows https://medium.com/activated-thinker/how-ai-agents-are-rewriting-workflows-2cfa92401f1c | |||
05:29 | User vs Builder: Which Generative AI Path Is Right for You? https://medium.com/@milindpatle6/user-vs-builder-which-generative-ai-path-is-right-for-you-e294e5b86c2a | |||
05:07 | AI-Powered API Testing: The Next Frontier in Test Automation https://medium.com/ai-in-quality-assurance/ai-powered-api-testing-the-next-frontier-in-test-automation-3cd78016ee75 | |||
04:55 | Decentralized AI Inference: Balancing Security and Performance https://medium.com/gonka-ai/decentralized-ai-inference-balancing-security-and-performance-161e1749aa35 | |||
04:29 | Large language model evaluation: The key to GenAI success https://thoughtworks.medium.com/large-language-model-evaluation-the-key-to-genai-success-0a82be602714 | |||
03:16 | Embeddings: Meaning, Measured in Numbers https://medium.com/@thisiskuhan/embeddings-meaning-measured-in-numbers-4a3452df1d1d | |||
03:08 | Part 3: RAG in Action — Real-World Applications and Scaling Strategies https://medium.com/@muhibuddinb/part-3-rag-in-action-real-world-applications-and-scaling-strategies-abf725d1d97b | |||
03:01 | Qwen3 Coder API Provider Comparison: Find the Best Fit https://medium.com/@marketing_novita.ai/qwen3-coder-api-provider-comparison-find-the-best-fit-b45a9ac68677 | |||
02:59 | Benchmarking LLM Inference on RTX 4090, RTX 5090, and RTX PRO 6000 https://levelup.gitconnected.com/benchmarking-llm-inference-on-rtx-4090-rtx-5090-and-rtx-pro-6000-76b63b3b50a2 | |||
02:54 | How to Build a RAG Pipeline with LangChain and FAISS (Part 2) https://medium.com/@muhibuddinb/how-to-build-a-rag-pipeline-with-langchain-and-faiss-part-2-2ad4c8d5629d | |||
02:48 | When a Computer Acts Conscious: What Microsoft’s AI Boss Thinks https://medium.com/@insightguy/when-a-computer-acts-conscious-what-microsofts-ai-boss-thinks-0a4c3e3b88b2 | |||
02:31 | TPUs Made Simple: Special Chips for Smarter AI https://medium.com/@ashfaqbs/tpus-made-simple-special-chips-for-smarter-ai-d23fd36eacb7 | |||
02:30 | The Perplexity Search API https://www.perplexity.ai/hub/blog/introducing-the-perplexity-search-api | |||
01:54 | Identifying Pokemon Cards & Geographical Locations with OpenAI Image APIs https://irtizahafiz.medium.com/identifying-pokemon-cards-geographical-locations-with-openai-image-apis-ace37e948df9 | |||
01:31 | Prompt Compression: Keep Quality, Cut Tokens https://medium.com/@connect.hashblock/prompt-compression-keep-quality-cut-tokens-1b9a82fdc7bf | |||
00:40 | How Do You Test an LLM Model and an AI App? https://medium.com/@miraclebro89757/how-do-you-test-an-llm-model-and-an-ai-app-d148d369d3a1 | |||
00:10 | What’s the Most Cost-Effective LLM for High-Volume Applications? https://medium.com/aplex/whats-the-most-cost-effective-llm-for-high-volume-applications-d4ffea1fd144 | |||
00:00 | Swift Transformers Reaches 1.0 — and Looks to the Future https://huggingface.co/blog/swift-transformers | |||
Thursday, 2025-09-25 | ||||
23:31 | Python MCP: The Secret Sauce to Make Your LLM Talk to the World https://medium.com/pyzilla/python-mcp-server-llm-integration-guide-606e94d47032 | |||
23:25 | A practical approach to AI safety https://david-gilbertson.medium.com/a-practical-approach-to-ai-safety-0223c6ff78b1 | |||
23:17 | Why 67 iPhones will not replace one Nvidia H100 https://ai.gopubby.com/why-67-iphones-will-not-replace-one-nvidia-h100-ce69847e8467 | |||
23:05 | Stanford Launches New AI Course: Self-Improving Intelligent Agents https://ai-engineering-trend.medium.com/stanford-launches-new-ai-course-self-improving-intelligent-agents-248b2ffef7f0 | |||
23:05 | GPT-5 Experience Report: When AI Starts Becoming Arrogant and Boring https://ai-engineering-trend.medium.com/gpt-5-experience-report-when-ai-starts-becoming-arrogant-and-boring-d83f5f8f96c7 | |||
22:59 | Function Calling with OpenAI APIs: Getting Started https://medium.com/@nandagopal05/function-calling-with-openai-apis-getting-started-45905922c2fc | |||
22:38 | GenAI & LLM Fundamentals-2 (Tokenization & Positional Encodings) https://medium.com/@monishatemp20/genai-llm-fundamentals-2-tokenization-positional-encodings-c102af1a1098 | |||
22:34 | PhishDebate: Letting AI Argue Its Way to Safer Web Browsing https://zhanghaolin66.medium.com/phishdebate-letting-ai-argue-its-way-to-safer-web-browsing-769377aca339 | |||
22:23 | Elasticsearch to local LLM https://medium.com/@darkly_splendid/elasticsearch-to-local-llm-d34128bf57e7 | |||
21:47 | Experts urge caution about using ChatGPT to pick stocks https://arstechnica.com/information-technology/2025/09/experts-urge-caution-about-using-chatgpt-to-pick-stocks/ | |||
21:45 | LLMs Get Lost in Multi-Turn Conversations — and What Builders Can Do About It https://generativeai.pub/llms-get-lost-in-multi-turn-conversations-and-what-builders-can-do-about-it-2aa5efb105b7 | |||
21:41 | US judge approves .5B Anthropic copyright settlement with authors https://www.reuters.com/sustainability/boards-policy-regulation/us-judge-approves-15-billion-anthropic-copyright-settlement-with-authors-2025-09-25/ | |||
21:36 | Is AI Alive? https://medium.com/@rogueinnerchild/is-ai-alive-52012d1af8da | |||
21:31 | What is Generative Engine Optimization? https://medium.com/@senso.ai/what-is-generative-engine-optimization-35ab7337edc1 | |||
21:16 | Why Google Gemini Might Crush GPT-4: The AI Race Just Got Real https://medium.com/@p4prince2/why-google-gemini-might-crush-gpt-4-the-ai-race-just-got-real-ec9342df0208 | |||
21:15 | How To Automate With LLMs Better By Understanding What They Can’t Do https://medium.com/@djangoist/how-to-automate-with-llms-better-by-understanding-what-they-cant-do-370dcfe0dd0a | |||
20:48 | Evaluating LLM-Generated Detection Rules in Cybersecurity https://sublime.security/blog/more-than-plausible-nonsense-a-rigorous-eval-for-ade-our-security-coding-agent/ | |||
20:46 | Your Primer to Supercharging B2B Sales with Automation https://medium.com/@nicolas.mialaret/your-primer-to-supercharging-b2b-sales-with-automation-25e365eaf61c | |||
20:45 | TallMountain – Stoic Virtue Ethics for an LLM Agent https://github.com/seamus-brady/tallmountain-raku | |||
20:31 | Build a Reliable Document Agent with Handit + LangGraph https://medium.com/@gfcristhian98/build-a-reliable-document-agent-with-handit-langgraph-3c5eb57ef9d7 | |||
20:11 | AI vs rule based https://medium.com/@maxwellapex/ai-vs-rule-based-647901d8cd1e | |||
20:10 | Agents vs. Humans on GitHub: Who Is Actually Writing Code Today, and How https://medium.com/@dataism/agents-vs-humans-on-github-who-is-actually-writing-code-today-and-how-ea0bab7a60c4 | |||
19:30 | Context engineering: Getting the most out of LLMs https://medium.com/@immairaj/context-engineering-getting-the-most-out-of-llms-d983f3b83a6d | |||
19:30 | Mixture of experts https://medium.com/@shahzab.uddin/mixture-of-experts-59ae38233ab6 | |||
19:29 | CORPORATE KNOWLEDGE ASSISTANT https://medium.com/@drjeffchagas/corporate-knowledge-assistant-845c7d39e81a | |||
19:04 | Qwen3-Max: Alibaba’s Most Powerful AI Model Yet with over 1 Trillion Parameters https://medium.com/@sharadsisodiya9193/qwen3-max-alibabas-most-powerful-ai-model-yet-with-over-1-trillion-parameters-9ac1c63c6ee2 | |||
19:01 | Large Language Models (LLMs) https://medium.com/@chathurialwis/large-language-models-llms-1c6d080ed332 | |||
18:59 | LLMs Made Simple: The Secret Behind Today’s Smartest AI https://medium.com/@darshana.dabhade123/llms-made-simple-the-secret-behind-todays-smartest-ai-e46ff1310ddb | |||
18:56 | Qwen3 on AWS Bedrock: A Developer’s Guide to the Future of Agentic AI https://cesarschneider.medium.com/qwen3-on-aws-bedrock-a-developers-guide-to-the-future-of-agentic-ai-ea143aa815ec | |||
18:49 | Karpathy's Scale and Solving Horseless Carriages https://www.kush.pw/karpathy-scale.html | |||
18:48 | The Hidden Challenges of Building Agentic AI Frameworks https://medium.com/@abhaychougule0907/the-hidden-challenges-of-building-agentic-ai-frameworks-5b8e1b5ec733 | |||
18:34 | Il prodigio dell’IA senza preconcetti https://alessandrobogliolo.medium.com/il-prodigio-dellia-senza-preconcetti-bf419facfbf1 | |||
18:27 | 10 KServe Patterns for Production LLM Endpoints https://medium.com/@kaushalsinh73/10-kserve-patterns-for-production-llm-endpoints-835d4d1c5b5d | |||
18:20 | Building a Simple Assistant Agent https://medium.com/genai-llms/building-a-simple-assistant-agent-49104ba7c1ad | |||
17:47 | AI Agents Explained Simply: Hugging Face Course Unit 1 Recap https://medium.com/@alikhalaji/ai-agents-explained-simply-hugging-face-course-unit-1-recap-827a4954055c | |||
17:42 | Top Generative AI Updates of the Week (September Week 3, 2025) https://medium.com/@kalyanks/top-generative-ai-updates-of-the-week-september-week-3-2025-71a2deb5d2c5 | |||
17:37 | Why Retrieval-Augmented Generation (RAG) Is the Future of AI (Part 1) https://medium.com/@muhibuddinb/why-retrieval-augmented-generation-rag-is-the-future-of-ai-part-1-140759f22ff0 | |||
17:28 | Agentic Next Best Action (NBA) : From Raw Student Data to What to Do Now https://medium.com/@nayan.j.paul/agentic-next-best-action-nba-from-raw-student-data-to-what-to-do-now-6e3cacafbccf | |||
17:27 | Is OpenAI's Reinforcement Fine-Tuning (RFT) Worth It? https://www.tensorzero.com/blog/is-openai-reinforcement-fine-tuning-rft-worth-it/ | |||
17:23 | AI Security Tools — September 2025 https://infosecwriteups.com/ai-security-tools-september-2025-7a454bb70d00 | |||
16:59 | ChatGPT Pulse https://openai.com/index/introducing-chatgpt-pulse/ | |||
16:39 | NVIDIA Edge AI in Action: From Latency Bottlenecks to Smarter Alerts with YOLOv5, Triton, and… https://medium.com/@pavankkomanduri/nvidia-edge-ai-in-action-from-latency-bottlenecks-to-smarter-alerts-with-yolov5-triton-and-b491c9bc4f7a | |||
16:27 | Anthropic CPO Admits They Rarely Hire Fresh Grads as AI Takes over Entry-Level https://www.finalroundai.com/blog/anthropic-cpo-mike-krieger-on-ai-replacing-entry-level-jobs | |||
16:27 | Reddit as a Getaway to Google Search (and ChatGPT): Do’s and Don’ts https://blog.venturemagazine.net/reddit-as-a-getaway-to-google-search-and-chatgpt-dos-and-don-ts-13be3025abe4 | |||
16:21 | Trump’s 2025 UN Speech Was the Most Anti-European on Record https://medium.com/@alfredo-hs/trumps-2025-un-speech-was-the-most-anti-european-on-record-3ea918f2aa96 | |||
16:17 | Stop Asking One Model to Do Everything: The Adaptive Routing Revolution https://medium.com/@piyooshrai/stop-asking-one-model-to-do-everything-the-adaptive-routing-revolution-fa14e5996e3b | |||
16:11 | Musk's xAI accuses rival OpenAI of stealing trade secrets https://www.reuters.com/sustainability/boards-policy-regulation/musks-xai-accuses-rival-openai-stealing-trade-secrets-2025-09-25/ | |||
16:03 | Humanize Your LLM: LoRA Fine-Tuning + DPO Explained https://medium.com/@kulhari.anshul/humanize-your-llm-lora-fine-tuning-dpo-explained-0a0fad17f5d9 | |||
16:02 | Life Of An Amnesic LLM https://medium.com/@docteur_rs/life-of-an-amnesic-llm-5c80f8183298 | |||
16:01 | LoRA vs QLoRA vs Full Fine-tuning: Which Approach Should You Choose? https://medium.com/@rkuma18/lora-vs-qlora-vs-full-fine-tuning-which-approach-should-you-choose-3fe9c21474ec | |||
15:53 | Trust Before Technology: Why India’s AI Leap Begins with SLMs, Not LLMs https://medium.com/@kushaaal/trust-before-technology-why-indias-ai-leap-begins-with-slms-not-llms-c4e5bbc52aaa | |||
15:48 | Building a Domain-Specific Medical Reasoning Model with Supervised Fine-Tuning on GPT-OSS-20B https://medium.com/@arunimasofficial/building-a-domain-specific-medical-reasoning-model-with-supervised-fine-tuning-on-gpt-oss-20b-526f2d88c66f | |||
15:05 | How to Fit 4 RTX 3060 GPUs into a 0 Dell T630 Server https://ai-engineering-trend.medium.com/how-to-fit-4-rtx-3060-gpus-into-a-100-dell-t630-server-c785732289ec | |||
15:05 | How to Stop AI Assistants from Asking ‘Would You Like Me to Help?’ Nonsense https://ai-engineering-trend.medium.com/how-to-stop-ai-assistants-from-asking-would-you-like-me-to-help-nonsense-9a639d6107b0 | |||
15:01 | LAI #94: Deep Learning Myths, Multi-Agent Frameworks, and Synthetic Data in Practice https://pub.towardsai.net/lai-94-deep-learning-myths-multi-agent-frameworks-and-synthetic-data-in-practice-c54caa400279 | |||
14:56 | The Transparency Revolution in AI Security: What the UN Got Right (And What They Missed) https://medium.com/@chelsea_mac/the-transparency-revolution-in-ai-security-what-the-un-got-right-and-what-they-missed-9bd1eefceaf7 | |||
14:31 | Serverless Inference Without Cold Starts https://medium.com/@2nick2patel2/serverless-inference-without-cold-starts-8d61e2cbb72e | |||
14:31 | Tools & Resources — September 2025 https://infosecwriteups.com/tools-resources-september-2025-ea00e2a28b5e | |||
14:30 | HRM: Hierarchical Reasoning Model — A Lightweight Approach to Complex Problem Solving https://medium.com/@shouke.wei/hrm-hierarchical-reasoning-model-a-lightweight-approach-to-complex-problem-solving-76b89b7cb1aa | |||
14:17 | Hugging Face: NLP’nin Süper Kahramanı ♂️ https://medium.com/@erenakca/hugging-face-nlpnin-s%C3%BCper-kahraman%C4%B1-%EF%B8%8F-5d990cc3a3a2 | |||
14:17 | PowerBI: AI’nin İş Zekasına Dokunuşu https://medium.com/@erenakca/powerbi-ainin-i%CC%87%C5%9F-zekas%C4%B1na-dokunu%C5%9Fu-9664478b353e | |||
14:16 | Model Context Protocol (MCP) ve Veri Araçları: AI’nin Yeni Oyun Alanı https://medium.com/@erenakca/model-context-protocol-mcp-ve-veri-ara%C3%A7lar%C4%B1-ainin-yeni-oyun-alan%C4%B1-46c0aee64f64 | |||
14:08 | 5 Cutting-Edge Natural Language Processing Trends Shaping 2026 https://medium.com/inspire-otivate/5-cutting-edge-natural-language-processing-trends-shaping-2026-fe00de64b46b | |||
14:03 | RAG Explained: Reranking for Better Answers https://medium.com/@deepakmourya_14560/rag-explained-reranking-for-better-answers-0e307683506a | |||
14:03 | The Rise of Open Source AI: How to Use Models Like LLaMA & Mistral - Part 1 https://medium.com/predict/the-rise-of-open-source-ai-how-to-use-models-like-llama-mistral-part-1-8d2b4f2e3d2e | |||
13:53 | Hadiah melimpah setiap hari, hanya di SumbawaToto https://medium.com/@dindaadelia/hadiah-melimpah-setiap-hari-hanya-di-sumbawatoto-92768d4931af | |||
13:33 | RLPT: How Tencent’s Hunyuan Achieves Self-Supervised Reinforcement Learning on Pre-training Data https://ai-engineering-trend.medium.com/rlpt-how-tencents-hunyuan-achieves-self-supervised-reinforcement-learning-on-pre-training-data-854b11fb0e33 | |||
13:30 | We need to talk about LLM's and non-determinism https://www.rdrocket.com/blog/we-need-to-talk-about-LLMs-non-determinism | |||
12:45 | Inside My First AI Workshop: From Tokens to Agents https://medium.com/@yash.khetan24/inside-my-first-ai-workshop-from-tokens-to-agents-72ed5a49526c | |||
12:44 | Ionet ray: Democratizing the Elite Skills of Large Model Training https://medium.com/@maris205/ionet-ray-democratizing-the-elite-skills-of-large-model-training-da3b07a0ca83 | |||
12:29 | Built with LangGraph! #26: Semantic Memory https://blog.devops.dev/built-with-langgraph-26-semantic-memory-b422cac0f963 | |||
12:24 | The Future of AI Content: What Is LLM in AI and Why You Should Care https://medium.com/@diligenticinfotech/the-future-of-ai-content-what-is-llm-in-ai-and-why-you-should-care-a68ffc0b246c | |||
12:21 | Fine-Tuning LLM with Unsloth: A Practical Guide to Training Models like Qwen3 8B on a Consumer GPU https://medium.com/@acarismailkagan/fine-tuning-llm-with-unsloth-a-practical-guide-to-training-models-like-qwen3-8b-on-a-consumer-gpu-4116088a207c | |||
12:02 | Oracle Data Guard: Tipos, Licencias y la Realidad de la Alta Disponibilidad en Standard Edition https://medium.com/@dearmas_54209/oracle-data-guard-tipos-licencias-y-la-realidad-de-la-alta-disponibilidad-en-standard-edition-960f440ad02a |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124