LLM News and Articles
Thursday, 2025-06-19 | ||||
15:27 | Day 8: CLIP in Action — Fine-Tuning and Probing Multimodal Capabilities https://medium.com/@deepsiya10/day-8-clip-in-action-fine-tuning-and-probing-multimodal-capabilities-63868a614108 | |||
15:16 | ChatGPT May Be Eroding Critical Thinking Skills, According to a New MIT Study https://time.com/7295195/ai-chatgpt-google-learning-school/ | |||
15:01 | LAI #80: Why LLMs Fail, Reinforcement Pre-Training, and Local Agents That Listen https://pub.towardsai.net/lai-80-why-llms-fail-reinforcement-pre-training-and-local-agents-that-listen-7f2125ad0d83 | |||
14:32 | Parameter-Efficient Fine-Tuning for LLMs: LoRA, QLoRA, and Beyond https://medium.com/foundation-models-deep-dive/parameter-efficient-fine-tuning-for-llms-lora-qlora-and-beyond-97e3714a1f8a | |||
14:05 | Reflective Dissonance: When Values Pull in Opposite Directions https://medium.com/@donaldnlang2/reflective-dissonance-when-values-pull-in-opposite-directions-c11b1dd941a2 | |||
14:04 | Your Meta AI prompts are in a live, public feed https://doctorow.medium.com/https-pluralistic-net-2025-06-19-privacy-breach-by-design-bringing-home-the-beacon-3c2f73359737 | |||
13:32 | Thought Simulation: How a Two-Step Prompt Nearly Doubles LLM Efficacy in Solving Complex Problems https://medium.com/@brainhome9/thought-simulation-how-a-two-step-prompt-nearly-doubles-llm-efficacy-in-solving-complex-problems-9ba8196e2c26 | |||
13:32 | LLMs for Recsys and Search — Part 1: Semantic Ids and Evolving architectures https://medium.com/@kakumar1611/llms-for-recsys-and-search-part-1-semantic-ids-and-evolving-architectures-2651bc5c47c6 | |||
13:25 | Study Note 92 Language Modeling with N-Grams https://medium.com/@edward.qian.yang/study-note-92-language-modeling-with-n-grams-b389c9b2b5e9 | |||
13:14 | Making of F1 Regulation RAG https://ccppoo.medium.com/making-of-f1-regulation-rag-1c5e196793f3 | |||
13:03 | Show HN: Open Operator Evals – real-world benchmarks for LLM web agents https://github.com/nottelabs/open-operator-evals | |||
12:50 | Microsoft prepared to walk away from high-stakes OpenAI talks https://www.ft.com/content/072e90fe-1c8c-415c-8024-5996b1ebb3cb | |||
12:48 | Artificial Intelligence: not as smart as it thinks it is https://generativeai.pub/artificial-intelligence-not-as-smart-as-it-thinks-it-is-6dd260e26dc3 | |||
12:36 | Enhancing User Experience: Adding an AI Chat Bot to My Personal Web Portfolio https://medium.com/@kelanach/enhancing-user-experience-adding-an-ai-chat-bot-to-my-personal-web-portfolio-ea5c792767a1 | |||
12:36 | Understanding the Large Language Models Using Hugging Face Transformers and Phi-3-Mini-Instruct… https://medium.com/@avikumart_/understanding-the-large-language-models-using-hugging-face-transformers-and-phi-3-mini-instruct-6b9886f42f40 | |||
12:35 | Beyond Microservices: The Agentic Mindset Shift https://medium.com/@vishnumavuram/beyond-microservices-the-agentic-mindset-shift-2f8b2d1ac827 | |||
12:33 | Beyond Traditional Browsers: Discover the LLM Browser for AI Agents https://llmbrowser.medium.com/beyond-traditional-browsers-discover-the-llm-browser-for-ai-agents-5cf887ca4a0b | |||
12:26 | From Pixels to Prompts: Choosing Between ML & LLM for Image Tasks https://medium.com/@kanchanborade/from-pixels-to-prompts-choosing-between-ml-llm-for-image-tasks-46aedab918d5 | |||
12:25 | AutoHRise: An AI-Powered Hiring Assistant with Agentic AI, Crew AI, and Watsonx AI https://medium.com/ibm-data-ai/autohrise-an-ai-powered-hiring-assistant-with-agentic-ai-crew-ai-and-watsonx-ai-b9b01b4962fb | |||
12:25 | AutoHRise: Resume Screening Using Crew AI, Watsonx AI and Discovery https://medium.com/ibm-data-ai/autohrise-resume-screening-using-crew-ai-watsonx-ai-and-discovery-ac0780f750cf | |||
12:23 | The 7 Best AI Browsers of 2025: From Agentic Search to LLM Power https://llmbrowser.medium.com/the-7-best-ai-browsers-of-2025-from-agentic-search-to-llm-power-874928216b2b | |||
12:22 | When Agents Get Too Helpful: A Prompt Experiment https://medium.com/@dmjdarshanwork/when-agents-get-too-helpful-a-prompt-experiment-bf35cc89b844 | |||
12:17 | LLMunix: A Markdown OS Experiment Inspired by Karpathy's "LLMs as Computers" https://github.com/EvolvingAgentsLabs/llmunix | |||
12:16 | Series of Vocavia Part-II Speech-to-Text: Whisper to Word https://medium.com/@atalayakgul/series-of-vocavia-part-ii-speech-to-text-whisper-to-word-95a26000fb32 | |||
12:11 | Non-Anthropic Cognition: Human “Self” is Redundant https://cryptosamadhi.medium.com/non-anthropic-cognition-human-self-is-redundant-8fedc1623e48 | |||
12:06 | A Comprehensive Guide to the Top AI Fine-Tuning Tools in 2025 https://medium.com/@mohantaastha/a-comprehensive-guide-to-the-top-ai-fine-tuning-tools-in-2025-137131659174 | |||
12:04 | How to Evaluate AI Summaries? https://ai.gopubby.com/how-to-evaluate-ai-summaries-490373577359 | |||
12:01 | Why You May Not Need Fine-Tuning for Your Use Case! https://pub.towardsai.net/why-you-may-not-need-fine-tuning-for-your-use-case-5f9f24f4d57c | |||
12:01 | My Favorite Hack in Azure AI Foundry: Model Router https://kyleake.medium.com/my-favorite-hack-in-azure-ai-foundry-model-router-2e847d43dca9 | |||
11:57 | The Day AI Learned to Code Like a Human — And Everything Changed https://medium.com/@shivamjaisw9/the-day-ai-learned-to-code-like-a-human-and-everything-changed-b127d78ea044 | |||
11:56 | A Comprehensive LLM Selection Framework for Enterprise Agility and Startup Innovation https://medium.com/@vasu.rao.pm/a-comprehensive-llm-selection-framework-for-enterprise-agility-and-startup-innovation-d92323498322 | |||
11:40 | The Hidden Position Bias in LLMs: Why Your AI Might Fail When It’s Asked to Choose https://medium.com/@lyx_62906/the-hidden-position-bias-in-llms-why-your-ai-might-fail-when-its-asked-to-choose-26d59516f6ee | |||
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 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124