LLM News and Articles
Thursday, 2025-06-19 | ||||
11:31 | From Confusion to Clarity: Exploring OpenAI’s Model Context Protocol (MCP) https://blog.devops.dev/from-confusion-to-clarity-exploring-openais-model-context-protocol-mcp-ec9ea0da845e | |||
11:25 | The crossroad of skillmaxing and cognitive load https://medium.com/@monotykamary/the-crossroad-of-skillmaxing-and-cognitive-load-a8c519bf8454 | |||
11:22 | The Next Word is Not Enough: How CAFT is Forcing a Rethink of LLM Fine-Tuning https://medium.com/towards-explainable-ai/the-next-word-is-not-enough-how-caft-is-forcing-a-rethink-of-llm-fine-tuning-e0ce7d969855 | |||
11:20 | Meta Prompts: The Invisible Framework Powering the New Age of AI https://medium.com/@prabhuss73/meta-prompts-the-invisible-framework-powering-the-new-age-of-ai-ef1118005c6b | |||
11:01 | The Ultimate LLM Prompting Showdown: Chain-of-Thought vs Self-Consistency vs Meta-Prompts https://medium.com/@rogt.x1997/the-ultimate-llm-prompting-showdown-chain-of-thought-vs-self-consistency-vs-meta-prompts-2a2548667046 | |||
10:47 | If LLMs Can Think… https://medium.com/@trof.iandainode/if-llms-can-think-323ca9f20aff | |||
10:34 | How I Solved Level 5, 6 and 7 of the Gandalf AI Challenge https://medium.com/@int0x50/how-i-solved-level-5-6-and-7-of-the-gandalf-ai-challenge-2349df44d031 | |||
10:32 | Understanding LLM Vulnerabilities https://medium.com/@ravisankarit/understanding-llm-vulnerabilities-6bed9d0422cd | |||
10:18 | Intro to AI-Agents https://medium.com/road-to-full-stack-data-science/intro-to-ai-agents-c0bfadd47290 | |||
09:32 | What Is a Language Model, and Why Should You Care? https://medium.com/@pvprasanth474/what-is-a-language-model-and-why-should-you-care-4b4ce0c2930c | |||
09:29 | From LLM to AI Agent: What's the Real Journey Behind AI System Development? https://www.codelink.io/blog/post/ai-system-development-llm-rag-ai-workflow-agent | |||
09:01 | LLM‑as‑a‑Judge Guide: Smarter AI Model Evaluation at Scale https://medium.com/@visionxio/llm-as-a-judge-guide-smarter-ai-model-evaluation-at-scale-b3d2140b718e | |||
08:49 | End-to-End Data Intelligence with Python and LLMs https://medium.com/data-epic/end-to-end-data-intelligence-with-python-and-llms-3a47171ce9b7 | |||
08:45 | Start Using AI For Real: How I Made Prompting My Superpower https://medium.com/@baibolatbaizhan/start-using-ai-for-real-how-i-made-prompting-my-superpower-d7c63e8f9422 | |||
08:29 | The Rebound Effect: AI’s Silent Backfire https://planet-a.medium.com/the-rebound-effect-ais-silent-backfire-e92c1aa8b90f | |||
08:14 | How Large Language Models (LLMs) Work, Evolve, and Shape the Future of AI https://medium.com/@lightthief4/how-large-language-models-llms-work-evolve-and-shape-the-future-of-ai-294393843baa | |||
08:05 | Summer 2025 https://medium.com/wugs/summer-2025-8a003793fbf7 | |||
07:30 | LangChain vs. LangGraph https://medium.com/fundamentals-of-artificial-intellegence/langchain-vs-langgraph-c895ea81f70b | |||
06:59 | 6 Practical Ways to Use Large Language Models in Business (2025 Guide) https://blog.chatbotslife.com/6-practical-ways-to-use-large-language-models-in-business-2025-guide-01979916328a | |||
06:54 | ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning https://www.marktechpost.com/2025/06/18/revisual-r1-an-open-source-7b-multimodal-large-language-model-mllms-that-achieves-long-accurate-and-thoughtful-reasoning/ | |||
06:41 | PARSE IT: One Word to Decode Anything in the AI Age https://medium.com/@hhaarrsshhaall/parse-it-one-word-to-decode-anything-in-the-ai-age-abdcda6dfa9f | |||
06:38 | NON SIAMO PIU’ SOLI? https://medium.com/@innovariart/non-siamo-piu-soli-9eca3c4c0e62 | |||
06:28 | Building a large language model: proxy technology support behind data sources https://medium.com/@rthhhgcf445/building-a-large-language-model-proxy-technology-support-behind-data-sources-6cee62330c6a | |||
06:25 | The Self-Editing Paradox: Why Teaching AI to Improve Itself Might Be Our Biggest Challenge Yet https://medium.com/@ybsonali/the-self-editing-paradox-why-teaching-ai-to-improve-itself-might-be-our-biggest-challenge-yet-1a502dba6700 | |||
06:22 | LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming… https://medium.com/@jiangmen28/langgpt-rethinking-structured-reusable-prompt-design-framework-for-llms-from-the-programming-6b7fd3f53831 | |||
06:16 | Tracing LLM Reasoning with LangSmith (RAG Demo with Anime!) https://medium.com/@subhasmitasahoo.247/tracing-llm-reasoning-with-langsmith-rag-demo-with-anime-4144c4fc8698 | |||
06:10 | Rewiring Attention with RoPE : The New Spin on Positional Encodings for Transformers https://medium.com/@sharmaachintya49/rewiring-attention-with-rope-the-new-spin-on-positional-encodings-for-transformers-2fb8e94adca0 | |||
06:09 | OpenAI boss: Meta offering 0M plus to poach my staff https://www.bbc.com/news/articles/c8730088e5do | |||
06:05 | The End of Search as We Know It: A Deep Dive into the AI Systems Automating Discovery https://blog.gopenai.com/the-end-of-search-as-we-know-it-a-deep-dive-into-the-ai-systems-automating-discovery-3f68941654db | |||
05:55 | How to Assess the Performance of Your Fine-Tuned Domain-Specific AI Model https://medium.com/@cloudkitect/how-to-assess-the-performance-of-your-fine-tuned-domain-specific-ai-model-1c4ce27a8e5d | |||
05:52 | Decoding the “Thinking” of Large Reasoning Models (LRMs) https://medium.com/@tushitdavergtu/decoding-the-thinking-of-large-reasoning-models-lrms-43a08433da13 | |||
05:41 | LLM Observability: A Beginner’s Guide to Monitoring LLMs Efficiently https://blog.kloudmate.com/llm-observability-a-beginners-guide-to-monitoring-llms-efficiently-41d46513edba | |||
05:22 | Is ChatHUB the Complete Solution for Artificial Intelligence Enthusiasts? https://medium.com/@Vugar_Ibrahimov/is-chathub-the-complete-solution-for-artificial-intelligence-enthusiasts-09c0c2789145 | |||
04:40 | Stressed About Choosing Between NVL72 and CloudMatrix384? https://medium.com/amazing-hardware/stressed-about-choosing-between-nvl72-and-cloudmatrix384-1585e05ed9cc | |||
04:36 | What Prime Fields Can Teach Us About Building Smarter Language Models https://medium.com/@francisco.revelles/what-prime-fields-can-teach-us-about-building-smarter-language-models-ce6b7995877c | |||
04:27 | Zero-Person Support Is Here: Can AI Handle Customer Care Without a Single Human? https://medium.com/eternalight-infotech/zero-person-support-is-here-can-ai-handle-customer-care-without-a-single-human-f2241c43332a | |||
04:19 | I Tried AWS UltraServer64 for 48 Hours: Was It Worth the Cost, or Just Cloud Hype? https://medium.com/amazon-help-and-tutorials/i-tried-aws-ultraserver64-for-48-hours-was-it-worth-the-cost-or-just-cloud-hype-dd52f6618230 | |||
04:11 | Anthropic RSS Feeds https://github.com/Olshansk/rss-feeds | |||
04:02 | Top 6 LLM API for Coding in 2025 https://medium.com/@marketing_novita.ai/top-6-llm-api-for-coding-in-2025-f6430a2a1c1f | |||
03:42 | The Future of Film? An AI That Makes Movies Forever https://medium.com/@inamdaraditya98/the-future-of-film-an-ai-that-makes-movies-forever-f3b0225720c4 | |||
03:29 | IdeaWeaver: One CLI to Train, Track, and Deploy Your LLM with Custom Data https://devopslearning.medium.com/ideaweaver-one-cli-to-train-track-and-deploy-your-llm-with-custom-data-1339ed36fc8e | |||
03:10 | The Easiest Way to Build an AI Chatbot for Your Website (Full Dev Tutorial) https://medium.com/@zh2408/the-easiest-way-to-build-an-ai-chatbot-for-your-website-full-dev-tutorial-3eba0da9e91c | |||
02:55 | Developer’s guide to getting started with Gemini 2.5 Flash-Lite https://medium.com/google-cloud/developers-guide-to-getting-started-with-gemini-2-5-flash-lite-8795eed5486c | |||
02:30 | What Gemini and ChatGPT Think About Altman’s Blog Post. https://medium.com/@iryna.nozdrin/what-gemini-and-chatgpt-think-about-altmans-blog-post-db051baa51c2 | |||
02:30 | Sam Altman says meta offered OpenAI staff 100M-bonuses https://www.msn.com/en-us/money/companies/sam-altman-says-meta-offered-openai-staff-100-million-bonuses-as-mark-zuckerberg-ramps-up-ai-poaching-efforts/ar-AA1GVr7y | |||
02:04 | LLM Product Recommender https://medium.com/@shakthiswetha2/llm-product-recommender-2c2b9efdfed0 | |||
01:28 | One of ChatGPT's popular uses just got skewered by Stanford researchers https://www.sfgate.com/tech/article/stanford-researchers-chatgpt-bad-therapist-20383990.php | |||
00:57 | MiniMax-M1 and MiniMax Agent: China’s Biggest Open-source Reasoning Model and Agent https://medium.com/ai-simplified-in-plain-english/minimax-m1-and-minimax-agent-chinas-biggest-open-source-reasoning-model-and-agent-ed1cb6efaae2 | |||
00:29 | A theory on the fundamental ingredients to build highly capable AI Agents https://medium.com/@monykiem/a-theory-on-the-fundamental-ingredients-to-build-highly-capable-ai-agents-ae6147c17919 | |||
00:27 | Can AI Reason, or Is It Just Pattern Matching? https://medium.com/@opsworld.g/can-ai-reason-or-is-it-just-pattern-matching-0de7b3742982 | |||
00:09 | How to Set Up OpenAI Chat Models in n8n: A Step-by-Step Guide ⚙️ https://medium.com/@Pin_Pixels/how-to-set-up-openai-chat-models-in-n8n-a-step-by-step-guide-%EF%B8%8F-99a7de283a25 | |||
00:00 | (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware https://huggingface.co/blog/flux-qlora | |||
Wednesday, 2025-06-18 | ||||
23:27 | AI Agent’s Fatal Flaws: Secrets, Lies, and Open Doors https://senendu5.medium.com/ai-agents-fatal-flaws-secrets-lies-and-open-doors-148b064e9dea | |||
23:17 | Desvendando o Potencial dos LLMs no Desenvolvimento Angular: Um Guia Prático para Produtividade https://ghabryel.medium.com/desvendando-o-potencial-dos-llms-no-desenvolvimento-angular-um-guia-pr%C3%A1tico-para-produtividade-ec11828a88cf | |||
23:10 | Shade-Arena: Evaluating Sabotage and Monitoring in LLM Agents [pdf] https://assets.anthropic.com/m/4fb35becb0cd87e1/original/SHADE-Arena-Paper.pdf | |||
22:39 | Prompt Injection: Outsmarting AI One Refund at a Time https://medium.com/@achvz/prompt-injection-outsmarting-ai-one-refund-at-a-time-6b036591030b | |||
22:34 | Understanding LLMs: Transformers, Encoders, and Decoders Made Simple https://medium.com/@sudiplaudari/understanding-llms-transformers-encoders-and-decoders-made-simple-62ba36405f1d | |||
22:25 | Rethinking AI Agents (practical guide) https://medium.com/@chipiga86/rethinking-ai-agents-practical-guide-4944b33d1fe2 | |||
22:24 | Building a Knowledge Base from Your Codebase using Google’s ADK https://levelup.gitconnected.com/building-a-knowledge-base-from-your-codebase-using-google-adk-7508e845bdc1 | |||
21:53 | ChatGPT is Changing the Economics of the Internet https://jjdiamondreivich.medium.com/chatgpt-is-changing-the-economics-of-the-internet-23cbbb2dc655 | |||
21:33 | Transitioning to My New Medium Account https://shweta-lodha.medium.com/transitioning-to-my-new-medium-account-6de474894110 | |||
21:32 | Advanced Reasoning Techniques: How to Make AI Think Like a Senior Engineer (Part 2) https://medium.com/@divyanshbhatiajm19/advanced-reasoning-techniques-how-to-make-ai-think-like-a-senior-engineer-part-2-9e874bb96cd0 | |||
21:30 | Chord: Multiplayer LLM Chats https://www.chord.chat/hn | |||
21:27 | Azure Model Router: Automatically Finds The Best AI Model For You https://medium.com/@qutyquteshweta/azure-model-router-automatically-finds-the-best-ai-model-for-you-15cafa2ec8f2 | |||
21:18 | GPT Pipeline: RAG at Scale on GPU A100, NVIDIA AI, Triton, CUDA, TensorRT, FAISS, ONNX, and NeMo https://medium.com/@gp_pulipaka/gpt-pipeline-rag-at-scale-on-gpu-a100-nvidia-ai-triton-cuda-tensorrt-faiss-onnx-and-nemo-f82066afbe18 | |||
20:46 | GPT-4o shows humanlike patterns of cognitive dissonance moderated by free choice https://www.pnas.org/doi/10.1073/pnas.2501823122 | |||
20:10 | Reducing Hallucination in Language Models with RAG: A Practical Guide Using LlamaIndex https://medium.com/@visakhpadmanabhan7/reducing-hallucination-in-language-models-with-rag-a-practical-guide-using-llamaindex-b18375771f56 | |||
20:06 | VIBECODE : Ultimate Checklist https://medium.com/@anixlynch/vibecode-ultimate-checklist-5c5fae6c96b5 | |||
20:04 | Streamlining Marketing Data Management with Generative AI https://medium.com/@inquiries_21295/streamlining-marketing-data-management-with-generative-ai-61c893778775 | |||
20:03 | The OpenAI Podcast https://openai.com/podcast/ | |||
20:01 | MIT’s New Brain Scan Study Reveals a Terrifying Cost of Using ChatGPT https://ninza7.medium.com/mits-new-brain-scan-study-reveals-a-terrifying-cost-of-using-chatgpt-a5b216e7d776 | |||
19:33 | Why Small Businesses Are Invisible to ChatGPT (and What We Can Do About It) https://bernard-grenat.medium.com/why-small-businesses-are-invisible-to-chatgpt-and-what-we-can-do-about-it-64694893fb5f | |||
19:25 | What Is a Large Language Model (LLM)? A Complete Beginner’s Guide https://medium.com/@TechNewMedia/what-is-a-large-language-model-llm-a-complete-beginners-guide-6ae9e8c9c940 | |||
19:20 | The Agentic Transformation Playbook https://www.llmwatch.com/p/the-agentic-transformation-playbook | |||
19:15 | Your Brain on ChatGPT: Accumulation of Cognitive Debt https://twitter.com/itsalexvacca/status/1935343874421178762 | |||
19:12 | Evaluating Large Language Models: What Every AI Practitioner Needs to Know https://venkykoll.medium.com/evaluating-large-language-models-what-every-ai-practitioner-needs-to-know-8f2e31971ca9 | |||
19:09 | 5 Python Projects That Use LLMs for Everyday Tasks https://medium.com/@CodeWithHannan/5-python-projects-that-use-llms-for-everyday-tasks-768bc4d81b9b | |||
18:59 | The Launch of GPT-4 https://andrewmayne.com/2025/05/02/some-personal-observations-about-the-launch-of-gpt-4/ | |||
18:52 | how llms work: from predicting words to powering ai tools https://medium.com/@nkhanna94/how-llms-work-from-predicting-words-to-powering-ai-tools-bb472fd75804 | |||
18:39 | Fine-Tuning Large Language Models: Your Guide to Smarter AI https://medium.com/@ritankar.jana.official/fine-tuning-large-language-models-your-guide-to-smarter-ai-2271de82b398 | |||
18:26 | From Sluggish to Supercharged: The 3 ‘Infinity Stones’ That Transformed My Chatbot’s Speed and… https://medium.com/@thakurharshitsingh51/from-sluggish-to-supercharged-the-3-infinity-stones-that-transformed-my-chatbot-s-speed-and-0872122fd432 | |||
18:25 | Exploring the Versatility of the moonshotai/kimi-dev-72b Model in the Age of AI https://medium.com/ai-simplified-in-plain-english/exploring-the-versatility-of-the-moonshotai-kimi-dev-72b-model-in-the-age-of-ai-7adb6e56e18d | |||
18:24 | The Silent Pivot: How Humans Must Change in the Era of LLMs https://medium.com/@itsrizi/the-silent-pivot-how-humans-must-change-in-the-era-of-llms-238c0841bdcf | |||
18:22 | ReAct Agent Using LangChain and Gemini https://medium.com/fundamentals-of-artificial-intellegence/react-agent-using-langchain-and-gemini-62b02d40eaea | |||
18:18 | Prompt engineering කියන එක කොහොමද LLM වල output වලට බලපාන්නේ? https://medium.com/@ViduraAI/prompt-engineering-%E0%B6%9A%E0%B7%92%E0%B6%BA%E0%B6%B1-%E0%B6%91%E0%B6%9A-%E0%B6%9A%E0%B7%9C%E0%B7%84%E0%B7%9C%E0%B6%B8%E0%B6%AF-llm-%E0%B7%80%E0%B6%BD-output-%E0%B7%80%E0%B6%BD%E0%B6%A7-%E0%B6%B6%E0%B6%BD%E0%B6%B4%E0%B7%8F%E0%B6%B1%E0%B7%8A%E0%B6%B1%E0%B7%9A-cc002e063ad7 | |||
18:16 | AI Agents: Powering the Next Generation of Intelligence. https://ascendum.medium.com/ai-agents-powering-the-next-generation-of-intelligence-541baf9bf84d | |||
18:10 | Sam Altman says Meta offered OpenAI staff 0M bonuses https://www.cnbc.com/2025/06/18/sam-altman-says-meta-tried-to-poach-openai-staff-with-100-million-bonuses-mark-zuckerberg.html | |||
18:08 | AI in the Enterprise: Creating an AI CoE — Tips for Success. https://ascendum.medium.com/ai-in-the-enterprise-creating-an-ai-coe-tips-for-success-0be33837fac6 | |||
17:37 | Arcee AI releases 4.5B foundation LLM model https://www.arcee.ai/blog/deep-dive-afm-4-5b-the-first-arcee-foundational-model | |||
17:35 | Fenic: The dataframe (re)built for LLM inference https://github.com/typedef-ai/fenic | |||
17:31 | ICML 2025 Sneak Peek: The New Laws of AI https://medium.com/foundation-models-deep-dive/icml-2025-sneak-peek-the-new-laws-of-ai-1210789c66a2 | |||
17:25 | Introducing AFM, the Arcee Foundation Model https://julsimon.medium.com/introducing-afm-the-arcee-foundation-model-46753e525536 | |||
17:22 | LLMs Are the UI: Building Apps Where the Model Is the Product https://medium.com/@ineffable_jet_eel_378/llms-are-the-ui-building-apps-where-the-model-is-the-product-1e628dc7d96f | |||
16:56 | Andrej Karpathy's talk on the future of the industry https://www.donnamagi.com/articles/karpathy-yc-talk | |||
16:43 | Agentic AI: Building Machines That Think, Plan, and Act With Purpose https://medium.com/@maneeshkumar52/agentic-ai-building-machines-that-think-plan-and-act-with-purpose-5fe7b4e29138 | |||
16:41 | ChatGPT Gets 'Absolutely Wrecked' in Chess Match with 1978 Atari https://www.pcmag.com/news/chatgpt-gets-absolutely-wrecked-in-chess-match-with-1978-atari | |||
16:33 | Ollama on Windows: Your Offline AI Assistant in 5 Easy Steps https://medium.com/@antilogatharv/ollama-on-windows-your-offline-ai-assistant-in-5-easy-steps-9e62e2cf5d6f | |||
16:31 | Confidential Inference via Trusted Virtual Machines https://www.anthropic.com/research/confidential-inference-trusted-vms | |||
16:24 | Build Your Own Private RAG Chatbot with LangChain, Ollama, and ChromaDB https://medium.com/@samuel.wright90/build-your-own-private-rag-chatbot-with-langchain-ollama-and-chromadb-12447a6aebc1 | |||
16:20 | The Model Context Protocol (MCP) Under the Hood https://devopslearning.medium.com/the-model-context-protocol-mcp-under-the-hood-39b39015c457 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124