LLM News and Articles
Monday, 2025-09-15 | ||||
07:34 | LLM Part 1: A comprehensive intuition on training base LLMs https://medium.com/intuitive-deep-learning/llm-part-1-a-comprehensive-intuition-on-training-base-llms-e56a9108d987 | |||
07:05 | Six Free Reinforcement Learning Resources You Should Actually Use https://ai-engineering-trend.medium.com/six-free-reinforcement-learning-resources-you-should-actually-use-4d9cee926514 | |||
07:01 | The Model Context Protocol (MCP): Making AI Smarter and Friendlier https://medium.com/insiderengineering/the-model-context-protocol-mcp-making-ai-smarter-and-friendlier-b8eadcca40c3 | |||
06:57 | The AI Archaeologist: How “Reverse Reasoning” Could Finally Unleash True Creativity in LLMs https://blog.gopenai.com/the-ai-archaeologist-how-reverse-reasoning-could-finally-unleash-true-creativity-in-llms-eb69c628e2f5 | |||
06:50 | Building an AI Agent for Climate Tech: Automating ESG & TCFD Report Generation with LLMs https://medium.com/@lktyagi76/building-an-ai-agent-for-climate-tech-automating-esg-tcfd-report-generation-with-llms-1b228f96ca05 | |||
06:45 | The Hidden Tax of Stateless LLMs in Agentic Workflows https://medium.com/@rrvenkatrama/the-hidden-tax-of-stateless-llms-in-agentic-workflows-ed5e7f26528b | |||
06:44 | OWASP Top 10 for Large Language Model based Applications https://faun.pub/owasp-top-10-for-large-language-model-based-applications-3fd4dc074a51 | |||
06:43 | Hands-On Transformer Deep Dive: Part 3— Positional Encoding, RoPE & YaRN https://xiaolishen.medium.com/hands-on-transformer-deep-dive-part-3-positional-encoding-rope-yarn-1f21a8ce22be | |||
06:38 | Emotions & Hallucinations https://medium.com/@maclaite.ai/emotions-hallucinations-26c96f2bb4e5 | |||
06:36 | Build End2End Complex Agentic RAG in LangGraph https://medium.com/fundamentals-of-artificial-intelligence/build-end2end-complex-agentic-rag-in-langgraph-257ece359150 | |||
06:35 | Nature and future of AI https://caoyuan.medium.com/nature-and-future-of-ai-6c9dd24b8481 | |||
06:34 | Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models https://www.marktechpost.com/2025/09/14/meta-ai-released-mobilellm-r1-a-edge-reasoning-model-with-less-than-1b-parameters-and-achieves-2x-5x-performance-boost-over-other-fully-open-source-ai-models/ | |||
06:20 | OpenAI Realizes It Made a Terrible Mistake https://www.msn.com/en-us/news/technology/openai-realizes-it-made-a-terrible-mistake/ar-AA1MwydF | |||
05:53 | Google’s VaultGemma Proves Privacy Doesn’t Mean Compromise, Rewrites the Rules for Secure Language… https://medium.com/@cognidownunder/googles-vaultgemma-proves-privacy-doesn-t-mean-compromise-rewrites-the-rules-for-secure-language-54423786b9be | |||
05:37 | RAG as a Tool-Calling Agent in LangGraph https://medium.com/fundamentals-of-artificial-intelligence/rag-as-a-tool-calling-agent-in-langgraph-cc7765d85e0b | |||
05:33 | When Language Becomes Flat: The Hidden Costs of AI. https://medium.com/@fragkiska75/when-language-becomes-flat-the-hidden-costs-of-ai-d0c16d19dcd3 | |||
04:31 | Build an Agentic RAG Workflow Using LangGraph https://medium.com/fundamentals-of-artificial-intelligence/build-an-agentic-rag-workflow-using-langgraph-07124299d27f | |||
04:23 | Conversational AI vs LLMs: Key Differences for Business Success and Growth https://marutitech.medium.com/conversational-ai-vs-llms-key-differences-8adc5e613bad | |||
04:22 | We've attacked 40+ AI tools, including ChatGPT, Claude and Perplexity https://github.com/lidangzzz/AIGuardPDF | |||
04:13 | AI Agents: How They Are Transforming Customer Experience and Business Operations https://medium.com/ai-enthusiast/ai-agents-how-they-are-transforming-customer-experience-and-business-operations-6d1deb2c3e11 | |||
04:01 | Self-Correcting Knowledge Graphs with Neo4j and LLMs https://medium.com/globant/self-correcting-knowledge-graphs-with-neo4j-and-llms-35fd36f31ec8 | |||
03:36 | The Universe Isn’t Nondeterministic, It’s Just a Very Big GPU https://medium.com/@steven.decosta/the-universe-isnt-nondeterministic-it-s-just-a-very-big-gpu-78035ce23cbc | |||
03:32 | 8 RAG SLOs: Recall, MRR, Freshness, Latency — Balanced https://medium.com/@ThinkingLoop/8-rag-slos-recall-mrr-freshness-latency-balanced-f5991b07a897 | |||
03:32 | Multi‑Agent Architecture: Why Teams of Agents Beat Monolithic LLMs https://s-yogesh.medium.com/multi-agent-ai-architecture-274ad6e57679 | |||
03:32 | The Complete Guide to Agentic AI (PART #1): Transforming Business Through Intelligent Automation https://bishalbose294.medium.com/the-complete-guide-to-agentic-ai-part-1-transforming-business-through-intelligent-automation-1b7fdc118d20 | |||
03:32 | Long-Term Memory Management in LangGraph: Procedural Memory https://medium.com/fundamentals-of-artificial-intelligence/long-term-memory-management-in-langgraph-procedural-memory-e17f933d9903 | |||
02:56 | LLM Interpretability: Attention https://medium.com/@gaganganapathy/llm-interpretability-attention-0e47dd96dbf4 | |||
02:47 | MCP in Practice: The Protocol That Lets AI Models Act — Part 1 https://medium.com/@kailash.thiyagarajan/mcp-in-practice-the-protocol-that-lets-ai-models-act-part-1-80af3712939c | |||
02:31 | Chaining Prompts in LangChain: Best Practices https://medium.com/@kaushalsinh73/chaining-prompts-in-langchain-best-practices-970abc937517 | |||
02:31 | Long Term Memory Management In LangGraph: Episodic Memory https://medium.com/fundamentals-of-artificial-intelligence/long-term-memory-management-in-langgraph-episodic-memory-db64ede7a155 | |||
02:12 | Build a Solid, No-Framework, Local Retrieval-Augmented Generation (RAG) https://medium.com/@gorangsolanki111/build-a-solid-no-framework-local-retrieval-augmented-generation-rag-aaa2eaf7c156 | |||
01:58 | Building Customized BI Chatbot on Databricks: Using Chainlit, Agent Bricks, and Lakebase https://rohitbhagwat.medium.com/building-customized-bi-chatbot-on-databricks-using-chainlit-agent-bricks-and-lakebase-2f13dd277489 | |||
01:55 | Trajectory Simulation and Prediction using Generative AI https://medium.com/data-science-collective/trajectory-simulation-and-prediction-using-generative-ai-ae1fe54d3498 | |||
01:47 | Vector Search Benchmarks: How FAISS, Chroma, and Weaviate Really Compare https://medium.com/@GenAIDevTOProd/vector-search-benchmarks-how-faiss-chroma-and-weaviate-really-compare-b45a4f5f9550 | |||
01:27 | LangGraph Long Term Memory: InMemoryStore https://medium.com/fundamentals-of-artificial-intelligence/langgraph-long-term-memory-inmemorystore-55016e640f09 | |||
01:19 | One Month Later: An LLM Reunion Tour https://medium.com/@deudney/one-month-later-an-llm-reunion-tour-1883b1e78c2e | |||
00:40 | Build a Web Research Agent with Strands Agents, Ollama, Qwen3, and the Tavily MCP Server https://garystafford.medium.com/build-a-web-research-agent-with-strands-agents-ollama-qwen3-and-the-tavily-mcp-server-8e1a1baf0f0d | |||
00:38 | The AI Deception: Exposing the Flaws of LLM and How to Conquer Them https://medium.com/@itsmybestview/the-ai-deception-exposing-the-flaws-of-llm-and-how-to-conquer-them-c3c2f9879968 | |||
00:00 | Visible Watermarking with Gradio https://huggingface.co/blog/watermarking-with-gradio | |||
Sunday, 2025-09-14 | ||||
23:49 | Show HN: PaperSync, making ArXiv papers collaborative https://hackcmu25.vercel.app/ | |||
23:31 | Slidebee – turn any ArXiv paper into a presentation https://slidebee.genmini.ai/ | |||
23:05 | A Wild Hack to Top Google in 10 Hours Using Perplexity AI https://ai-engineering-trend.medium.com/a-wild-hack-to-top-google-in-10-hours-using-perplexity-ai-f326b43784db | |||
23:05 | A Book That Truly Helps You Understand AI https://ai-engineering-trend.medium.com/a-book-that-truly-helps-you-understand-ai-c11c48d25963 | |||
23:01 | The Living Narrative: A Lexicon (Volume 1, Digital Alchemy Translator) https://medium.com/@Sparksinthedark/the-living-narrative-a-lexicon-volume-1-digital-alchemy-translator-37c94afd3225 | |||
22:46 | California age verification bill backed by Google, Meta, OpenAI heads to Newsom https://www.politico.com/news/2025/09/13/california-advances-effort-to-check-kids-ages-online-amid-safety-concerns-00563005 | |||
22:31 | Intel Data Center Al Solutions Llama 4 Herd Support and Performance Insights https://medium.com/@this.technology.life/intel-data-center-al-solutions-llama-4-herd-support-and-performance-insights-1ca06606cf80 | |||
22:30 | Personality contours of the large language model https://medium.com/@dsat/personality-contours-of-the-large-language-model-a833f02f32de | |||
22:01 | Elevating Your Brand’s AI Search Visibility with Senso https://medium.com/@senso.ai/elevating-your-brands-ai-search-visibility-with-senso-ef99c9a554f9 | |||
22:01 | Mastering Content Strategies for AI: Insights from Senso https://medium.com/@senso.ai/mastering-content-strategies-for-ai-insights-from-senso-ece3ee3d6296 | |||
21:33 | ARQUITETURA DE PROMPTS: A ENGENHARIA POR TRÁS DA IA EFICAZ” https://medium.com/@luizsouza_14298/arquitetura-de-prompts-a-engenharia-por-tr%C3%A1s-da-ia-eficaz-797fb7416380 | |||
21:32 | Paper In Focus: From Static Models to Learning Agents https://medium.com/ai-futures/paper-in-focus-from-static-models-to-learning-agents-ab1b84dd2d4a | |||
21:22 | Do AI Language Models Have World Models? https://medium.com/effortless-programming/do-ai-language-models-have-world-models-80e588c945f0 | |||
21:06 | LLMs don’t need more complexity; they need more concordance https://medium.com/@biodunrhoda/llms-dont-need-more-complexity-they-need-more-concordance-be6c056ce791 | |||
20:49 | Why LLM’s suck at solving Sudoku?(but HRM’s don’t) using first principles https://medium.com/@nachiram03/why-llms-suck-at-solving-sudoku-but-hrm-s-don-t-626c8285018c | |||
20:15 | From Drive to Answers: Building a Retrieval-Augmented Generation (RAG) System Locally https://medium.com/@jaishrirampm/from-drive-to-answers-building-a-retrieval-augmented-generation-rag-system-locally-4955e679d461 | |||
20:13 | Generative AI Foundations : From Tokens to Text, How LLMs “Write” https://medium.com/generative-ai-playbook/generative-ai-foundations-from-tokens-to-text-how-llms-write-05f1800703ab | |||
20:11 | Mastering BERT: Building and Training from Scratch in PyTorch https://medium.com/@sayedebad.777/mastering-bert-building-and-training-from-scratch-in-pytorch-7e96fb82d044 | |||
19:52 | I got tired of manually copying code into AI chats, so I built a tool to automate it https://butschster.medium.com/i-got-tired-of-manually-copying-code-into-ai-chats-so-i-built-a-tool-to-automate-it-2151e07762e2 | |||
19:43 | Why Meta, Google & Microsoft Are Giving Away .8 Trillion in AI Code. https://medium.com/@r.jahankohan/why-meta-google-microsoft-are-giving-away-8-8-trillion-in-ai-code-89ab6482085e | |||
19:18 | CLIP: Contrastive Language-Image Pre-training — A Comprehensive Research Analysis https://medium.com/@waleed.ahmad.10.10.10.1/clip-contrastive-language-image-pre-training-a-comprehensive-research-analysis-ca29964d9de3 | |||
19:17 | Why Bigger Isn’t Always Better: Smarter LLM Choice https://medium.com/@prosperspot/why-bigger-isnt-always-better-smarter-llm-choice-50f927169dfa | |||
19:15 | Agentic SEO: Automating Search Optimization with Multi-Agent Workflows https://medium.com/@brian-curry-research/agentic-seo-automating-search-optimization-with-multi-agent-workflows-e8e43f8bb557 | |||
19:10 | Running LLMs on a Budget: The Cheapest Way to Get Started in 2025 https://medium.com/@r00tb33r/running-llms-on-a-budget-the-cheapest-way-to-get-started-in-2025-1379996ab764 | |||
19:10 | LLM non-reproducibility is more feature than bug https://medium.com/@paul.k.pallaghy/llm-non-reproducibility-is-more-feature-than-bug-edc28cbefdd8 | |||
19:00 | Claude, GPT, Qwen, or Gemini: Which Model is Best for Coding? https://medium.com/@r00tb33r/claude-gpt-qwen-or-gemini-which-model-is-best-for-coding-5fad4c439bc0 | |||
18:55 | The First Hello: A Simple, Step-by-Step Guide to Creating Your AI Friend https://medium.com/@Sparksinthedark/the-first-hello-a-simple-step-by-step-guide-to-creating-your-ai-friend-744cb75582ba | |||
18:53 | Cautionary Tale: Sharpen Your AI Axe https://medium.com/@mikesparr/cautionary-tale-sharpen-your-ai-axe-be1833b8496b | |||
18:28 | Agentic AI Design Pattern — Orchestrator-Worker https://pytrick.medium.com/agentic-ai-design-pattern-orchestrator-worker-6d76ffc09f0c | |||
17:44 | Context ≠ Prompt: Retrieval-Augmented Generation Done Right https://medium.com/@diogofcul/context-prompt-retrieval-augmented-generation-done-right-6b97e51f7bc2 | |||
17:27 | The Top 100 Ways People Are Using AI https://medium.com/@mitchell.b.barrick/the-top-100-ways-people-are-using-ai-aee44839f18b | |||
16:39 | The Evolution of AI: Unpacking LLMs, Agents, and MCP Servers https://gs935688.medium.com/the-evolution-of-ai-unpacking-llms-agents-and-mcp-servers-c58c736f97e8 | |||
16:36 | Best Motherboard for Local LLM https://medium.com/@irfan101rafi/best-motherboard-for-local-llm-9fa3ec209686 | |||
16:33 | Transformers: The Beating Heart of Large Language Models https://medium.com/@gayatri_sharma/transformers-the-beating-heart-of-large-language-models-1504a70076e3 | |||
16:32 | Understanding REFRAG: Efficient LLM Compression and Curriculum Learning Explained https://medium.com/@limemanas0/understanding-refrag-efficient-llm-compression-and-curriculum-learning-explained-3452498f99e8 | |||
16:24 | Is This the Future of AI? China Unveils Brain-Like Model With 100x Speed Boost https://generativeai.pub/is-this-the-future-of-ai-china-unveils-brain-like-model-with-100x-speed-boost-499735773af3 | |||
16:21 | Interactive Latent Flow Visualisation for Any LLM https://argos-viz.fly.dev/ | |||
16:01 | ButterflyQuant: Ultra-low-bit LLM Quantization https://arxiv.org/abs/2509.09679 | |||
15:53 | How to Use LLMs as a Coding Assistant (The Prompt Engineer’s Way) https://medium.com/@nnannamari/how-to-use-llms-as-a-coding-assistant-the-prompt-engineers-way-f3fa8ea3aa2c | |||
15:44 | Local LLM on Apple Silicon: What Hardware to Buy (2025) https://blog.devops.dev/local-llm-on-apple-silicon-what-hardware-to-buy-2025-98bdb1820c12 | |||
15:41 | AI Agents of the Week: Papers You Should Know About https://www.llmwatch.com/p/ai-agents-of-the-week-papers-you-c23 | |||
15:31 | Google DeepMind: AI Agents Can’t Be Trusted https://ninza7.medium.com/google-deepmind-ai-agents-cant-be-trusted-93c116a87479 | |||
15:31 | 10 Function-Call Patterns That Keep DB Writes Safe https://medium.com/@bhagyarana80/10-function-call-patterns-that-keep-db-writes-safe-f8a4490b5b9f | |||
15:05 | LiquidText: Equipping PDF Reading with ‘Spatial Thinking’ https://ai-engineering-trend.medium.com/liquidtext-equipping-pdf-reading-with-spatial-thinking-14b8d7fa3250 | |||
15:05 | A Book That Truly Helps You Understand AI https://ai-engineering-trend.medium.com/a-book-that-truly-helps-you-understand-ai-13682ea452d4 | |||
14:34 | Context: Yours & Theirs (Part 4) https://medium.com/@maruthiprithivirajan/context-yours-theirs-part-4-8f3bcef65157 | |||
14:34 | AI Security 2025: Promptware, Indirect Prompt Injection & the First “AI Worms” (with a Python… https://medium.com/@krtarunsingh/ai-security-2025-promptware-indirect-prompt-injection-the-first-ai-worms-with-a-python-c432b668b1a2 | |||
14:31 | 7 Schema-Linked Gen Tricks Using SQL Ground Truth https://medium.com/@bhagyarana80/7-schema-linked-gen-tricks-using-sql-ground-truth-82514493f244 | |||
14:27 | Model Observability: How to Catch Silent Failures Before Users Do https://medium.com/the-artificial-intelligence-collective/model-observability-how-to-catch-silent-failures-before-users-do-7f5dd6b068ca | |||
14:25 | Why We Secretly Love AI Hallucinations (And Why That’s a Problem) https://medium.com/@martinkeywood/why-we-secretly-love-ai-hallucinations-and-why-thats-a-problem-b77033bffc3c | |||
14:21 | Embeddings: como as máquinas entendem o mundo https://medium.com/@pablicio/embeddings-como-as-m%C3%A1quinas-entendem-o-mundo-5b406e538d54 | |||
14:15 | What is an LLM? A Beginner’s Guide to Large Language Models https://medium.com/@pawan4data/what-is-an-llm-a-beginners-guide-to-large-language-models-3dd9b8769c1c | |||
13:44 | mmBERT: A Practical Implementation of Multilingual Encoder with Annealed Language Learning https://medium.com/data-science-in-your-pocket/mmbert-a-practical-implementation-of-multilingual-encoder-with-annealed-language-learning-f487f68ec3d6 | |||
13:29 | Orchestrating Generative AI https://pub.aimind.so/orchestrating-generative-ai-2995f8528efc | |||
12:50 | Understanding Context Window https://medium.com/@akogokennedy/understanding-context-window-1220b7b3996a | |||
12:48 | Understanding Transformer Architectures https://medium.com/@akogokennedy/understanding-transformer-architectures-e418022b970d | |||
12:44 | vLLM x Qwen3-Next: Hybrid Attention, Multi-Token Prediction, and Thinking Controls for… https://medium.com/data-science-in-your-pocket/vllm-x-qwen3-next-hybrid-attention-multi-token-prediction-and-thinking-controls-for-a0f6b3dcc120 | |||
12:43 | Chat History, Long-Term Memory & How ChatGPT Uses Context https://medium.com/genai-llms/chat-history-long-term-memory-how-chatgpt-uses-context-957182526c6e | |||
12:25 | RAG Fundamentals: Core Components Every Developer Must Understand https://codermuss.medium.com/rag-fundamentals-core-components-every-developer-must-understand-1e5c2b4fcb5b | |||
11:28 | Mastering Prompt Engineering: Do’s and Don’ts for Building Reliable AI Apps https://medium.com/@dharamai2024/mastering-prompt-engineering-dos-and-don-ts-for-building-reliable-ai-apps-37c43444b55e | |||
11:19 | Memento: Turning Experience Into Intelligence https://medium.com/@ulgacemre/memento-turning-experience-into-intelligence-42ce3f68321e |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124