LLM News and Articles
| Monday, 2026-04-13 | ||||
| 07:24 | LangChain: The Engineer’s Complete Guide to Building LLM Applications https://medium.com/@piyushborse29/langchain-the-engineers-complete-guide-to-building-llm-applications-32edc6cc85f0 | |||
| 07:12 | AI Agents in 2026: The Rise of Autonomous AI https://medium.com/@pkitukale7869/ai-agents-in-2026-the-rise-of-autonomous-ai-15b54eaa41d9 | |||
| 07:04 | The Last Generation of Data Engineers? https://medium.com/@reliabledataengineering/the-last-generation-of-data-engineers-e095cd5437b2 | |||
| 07:03 | Adam’s Law: The Hidden Textual Frequency Cheat Code for LLMs https://towardsdev.com/adams-law-the-hidden-textual-frequency-cheat-code-for-llms-f5834a75690e | |||
| 07:03 | The Harness Is Everything https://medium.com/@reliabledataengineering/the-harness-is-everything-a4114e8a54d1 | |||
| 07:01 | Why Your Next LLM Might Run Out of Memory (And How TurboQuant Fixes It) https://medium.com/@amarnathmahato109/why-your-next-llm-might-run-out-of-memory-and-how-turboquant-fixes-it-71779598a049 | |||
| 06:59 | GSTR-9 Annual Return Made Easy: How to Prepare It Directly from Your Invoice Data https://medium.com/@mery43651/gstr-9-annual-return-made-easy-how-to-prepare-it-directly-from-your-invoice-data-749cbc91035e | |||
| 06:56 | Building a Production-Grade Local RAG Pipeline — 100% Free, No Cloud Required https://medium.com/@abhirup.pal93/building-a-production-grade-local-rag-pipeline-100-free-no-cloud-required-8d172e929623 | |||
| 06:51 | Fine-Tuning an LLM on Your Own Data: The Complete No-Fluff Guide https://medium.com/@mehdibafdil/fine-tuning-an-llm-on-your-own-data-the-complete-no-fluff-guide-c5a18e859538 | |||
| 06:48 | LangChain Demystified: How to Build Intelligent LLM Applications the Right Way https://medium.com/@moinuddin1416shaik/langchain-demystified-how-to-build-intelligent-llm-applications-the-right-way-b1796b6a0741 | |||
| 06:40 | ChatGPT praises mood and 'bedroom/DIY texture' of fart sounds https://www.pcgamer.com/software/ai/chatgpt-will-praise-the-mood-and-bedroom-diy-texture-of-fart-sounds-pulled-from-youtube/ | |||
| 06:30 | Is Generative AI a Platform? Yes. And It Is Unlike Any Platform That Has Come Before. https://medium.com/@pbrajesh/is-generative-ai-a-platform-yes-and-it-is-unlike-any-platform-that-has-come-before-55137f9ea53c | |||
| 06:01 | There is a Meaningful Difference between Context & Instruction https://cobusgreyling.medium.com/there-is-a-meaningful-difference-between-context-instruction-49969f69464b | |||
| 05:21 | I Let AI Start Coding Immediately… and Regretted It in 10 Minutes https://vinitpahwa.medium.com/i-let-ai-start-coding-immediately-and-regretted-it-in-10-minutes-6b31b7986e61 | |||
| 03:56 | Mastering LangChain: Building Production-Ready LLM Applications https://medium.com/@vt6267700/mastering-langchain-building-production-ready-llm-applications-a099db2703f8 | |||
| 03:52 | Step-by-Step Guide: Integrate DGrid with Junie CLI https://medium.com/@dgrid_ai/step-by-step-guide-integrate-dgrid-with-junie-cli-678d3c21e598 | |||
| 03:48 | Auto-Generate Wiki Documentation from Databricks Notebooks using AI (PySpark + LLM) https://medium.com/@muthu.bharanidharan/auto-generate-wiki-documentation-from-databricks-notebooks-using-ai-pyspark-llm-2efc29d0347f | |||
| 03:47 | The Journey to Find The Best Sparse and Dense Embedding Model (Aprik 2026) https://medium.com/@arya.kusuma_6776/the-journey-to-find-the-best-sparse-and-dense-embedding-model-aprik-2026-7bd9c2b32e10 | |||
| 03:46 | Topology of Ideas: When Thoughts Stop Being Lines and Start Becoming Landscapes https://medium.com/@swarupmantripragada/topology-of-ideas-when-thoughts-stop-being-lines-and-start-becoming-landscapes-9cd118f62afc | |||
| 03:23 | Deep Technical Guide to LangChain: Building Modular LLM Applications with Python https://medium.com/@heesha1503/deep-technical-guide-to-langchain-building-modular-llm-applications-with-python-f6b59056dc3c | |||
| 03:14 | The Three Brains of Modern Computing: CPU vs GPU vs NPU (And Why It Matters for AI) https://medium.com/@theredbeardguy/the-three-brains-of-modern-computing-cpu-vs-gpu-vs-npu-and-why-it-matters-for-ai-ecf7e51761f7 | |||
| 03:05 | OxiBonsai: The World’s First Pure Rust 1-Bit LLM Inference Engine https://kitasanio.medium.com/oxibonsai-the-worlds-first-pure-rust-1-bit-llm-inference-engine-4c15abf53fce | |||
| 03:01 | A Small Company From China Shook the Entire AI World. Here Is What Nobody Told You. https://medium.com/@gagandhanapune/a-small-company-from-china-shook-the-entire-ai-world-here-is-what-nobody-told-you-cd2ad8082513 | |||
| 03:00 | I Tested 20+ LLMs for Coding Tasks — Only 5 Actually Worked https://medium.com/@rosgluk/i-tested-20-llms-for-coding-tasks-only-5-actually-worked-3ca40f2a125d | |||
| 02:45 | Before you build an agent, design the job https://medium.com/@gallaghersam95/before-you-build-an-agent-design-the-job-05388c0cbdfb | |||
| 02:44 | Proximal Policy Optimization (PPO) from Background to Full Implementation https://medium.com/@talhazaidi131313/proximal-policy-optimization-from-first-principles-61165b42d846 | |||
| 02:39 | Building an SLM from Scratch: A Journey That 1,100+ Learners Joined https://devopslearning.medium.com/building-an-slm-from-scratch-a-journey-that-1-100-learners-joined-1c3d9fd8b444 | |||
| 02:08 | When Models Mistake Approval for Evidence: Epistemic Independence in Language Models https://medium.com/@misskhan/when-models-mistake-approval-for-evidence-epistemic-independence-in-language-models-fc1dcb9859c8 | |||
| Sunday, 2026-04-12 | ||||
| 23:46 | The Inference Stack: Routing and Serving Layers for LLMs in Production https://medium.com/paralleliq/the-inference-stack-routing-and-serving-layers-for-llms-in-production-31943f1e39a4 | |||
| 23:46 | SideButton — Open Source Platform for AI Agents https://medium.com/@max.svistunov/sidebutton-open-source-platform-for-ai-agents-9d0febfc4796 | |||
| 23:45 | The AI Startup Playbook Silicon Valley Can’t Copy: Build Where the Internet Breaks https://medium.com/write-a-catalyst/the-ai-startup-playbook-silicon-valley-cant-copy-build-where-the-internet-breaks-80c55315a998 | |||
| 23:37 | EngLISP: Bridging Natural Language and Computation Through Minimal Structure https://medium.com/@russellshen7/englisp-bridging-natural-language-and-computation-through-minimal-structure-eb0c939ae570 | |||
| 23:25 | Why Claude Code Hits “Usage Limit Reached” — And How You Can Delay It Dramatically https://shweta-lodha.medium.com/why-claude-code-hits-usage-limit-reached-and-how-you-can-delay-it-dramatically-a23bf485ed6a | |||
| 23:14 | Show HN: Local LLM on a Pi 4 controlling hardware via tool calling https://github.com/stfurkan/pi-llm | |||
| 23:04 | Computer-Use: The Clicking Isn’t the Hard Part https://medium.com/@kvkthecreator/computer-use-the-clicking-isnt-the-hard-part-628d167d22ba | |||
| 22:53 | Rust, MCP, DataFusion Devil’s Favorite Trifecta https://ardvci.medium.com/rust-mcp-datafusion-devils-favorite-trifecta-b6779d97111f | |||
| 22:50 | Prompt Engineering vs. Context Engineering https://medium.com/@dncpwvmy/prompt-engineering-vs-context-engineering-d29bfd9e27fa | |||
| 22:49 | Why LLMs Hallucinate — and How We Can Fix It https://pub.towardsai.net/why-llms-hallucinate-and-how-we-can-fix-it-61626add1919 | |||
| 22:37 | Why Your AI Website Still Looks Like Garbage in 2026 https://medium.com/@hermosillo.jessie/why-your-ai-website-still-looks-like-garbage-in-2026-54df2ec8f877 | |||
| 22:30 | Sam Altman's home targeted in second attack https://sfstandard.com/2026/04/12/sam-altman-s-home-targeted-second-attack/ | |||
| 22:28 | The Context Layer That Turns Vibe Coding Into Software Engineering https://medium.com/@atef.ataya/the-context-layer-that-turns-vibe-coding-into-software-engineering-57cce12035fa | |||
| 21:52 | Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model https://www.marktechpost.com/2026/04/12/meta-ai-and-kaust-researchers-propose-neural-computers-that-fold-computation-memory-and-i-o-into-one-learned-model/ | |||
| 21:13 | Anthropic’s Claude Mythos release created a Glomar Trap for customers and rivals https://10io.com/blog/glomar-trap-mythos | |||
| 20:19 | If you don’t have a word for it can you even think it? https://medium.com/@oussamaaba911/if-you-dont-have-a-word-for-it-can-you-even-think-it-32d394a7ecef | |||
| 19:50 | The 1,000 Repository Milestone - The Power of Sharding https://medium.com/@apicrumbs/the-1-000-repository-milestone-the-power-of-sharding-03b1dce96273 | |||
| 19:32 | Retrieval-Augmented Generation (RAG): The Complete Guide https://medium.com/@khanvilkar.s.kunal/retrieval-augmented-generation-rag-the-complete-guide-83e700b6f1ac | |||
| 19:32 | The Silent “Token Tax”: Is AI Development Getting More Expensive? https://medium.com/@israiely.affan98/the-silent-token-tax-is-ai-development-getting-more-expensive-1d20b6f8783a | |||
| 19:25 | Deep Drive Into LangChain https://medium.com/@virajnande9325/deep-drive-into-langchain-6ad8f32a5643 | |||
| 19:21 | Better MoE model inference with warp decode https://cursor.com/blog/warp-decode | |||
| 19:04 | Speed isn’t the problem. I analysed 4,472 quick commerce reviews to find out what is. https://medium.com/@kulkarniprutha1/speed-isnt-the-problem-i-analysed-4-472-quick-commerce-reviews-to-find-out-what-is-9ae8cc97ea16 | |||
| 19:02 | Mission inbox zero: how I surgically nuked over 80,000 unread emails with my AI agent https://medium.com/@erikkaju/mission-inbox-zero-how-i-surgically-nuked-over-80-000-unread-emails-with-my-ai-agent-f339cb9a9ece | |||
| 18:51 | How Traditional ML Beats Powerful LLMs at Interpretability https://mithilesh-ai.medium.com/how-traditional-ml-beats-powerful-llms-at-interpretability-2ee1837ba485 | |||
| 18:45 | 1-bit inference of 0.8M param GPT running inside 8192 bytes of sram https://twitter.com/monty10x/status/2043399937073754117 | |||
| 18:41 | Anthropic Wants to Build Their Own Chips Now? https://generativeai.pub/anthropic-wants-to-build-their-own-chips-now-66923f506502 | |||
| 18:36 | OpenAI says to update Mac apps ChatGPT and Codex as security precaution https://9to5mac.com/2026/04/10/openai-says-to-update-mac-apps-including-chatgpt-and-codex-as-security-precaution/ | |||
| 18:35 | LangChain Deep Technical Blog: Designing Modular LLM Applications with End-to-End Implementation https://medium.com/@aervaaravind10/langchain-deep-technical-blog-designing-modular-llm-applications-with-end-to-end-implementation-9f5a4a5f6a2e | |||
| 18:18 | From Prompts to Intelligent Systems: A Deep Dive into LangChain Architecture and Applications https://medium.com/@himanshuss1003/from-prompts-to-intelligent-systems-a-deep-dive-into-langchain-architecture-and-applications-b16dc4b97ea8 | |||
| 17:55 | Artificial Intelligence Lab: A Practical Roadmap to Modern AI Systems https://medium.com/artificial-intelligence-lab/artificial-intelligence-lab-a-practical-roadmap-to-modern-ai-systems-ac2e6d41ab90 | |||
| 17:16 | What Large Language Models Imply About Machine Capabilities https://medium.com/@melnawawy1980/what-large-language-models-imply-about-machine-capabilities-e84dfa2b9730 | |||
| 16:41 | Mastering Agentic AI #1: Naive RAG’den Otonom Akıllı Ajanlara https://medium.com/@sibelakkurt/mastering-agentic-ai-1-naive-ragden-otonom-ak%C4%B1ll%C4%B1-ajanlara-e7c840244ff2 | |||
| 16:30 | Data Pollution Is the Biggest Threat to AI -Not Model Size https://medium.com/@scholarsonyalphy2022/data-pollution-is-the-biggest-threat-to-ai-not-model-size-a1e955eb9a68 | |||
| 15:59 | From Prompts to Agents: A Deep Technical Exploration of LangChain Architecture https://medium.com/@gvd6714/from-prompts-to-agents-a-deep-technical-exploration-of-langchain-architecture-ab3ff4a8b080 | |||
| 15:57 | Top 7 Places to Learn Agentic AI in 2026 https://medium.com/javarevisited/top-7-places-to-learn-agentic-ai-in-2026-4a49c659fe25 | |||
| 15:52 | The Gemma 4 Project, Cloud DevOps Engineer’s Guide, MIT & Stanford New Courses | Issue 83 https://medium.com/@rami.krispin/the-gemma-4-project-cloud-devops-engineers-guide-mit-stanford-new-courses-issue-83-1a95759b8531 | |||
| 15:51 | Beyond Flat Metrics: Brand Mention Surplus https://medium.com/@caleboscartitterton/beyond-flat-metrics-brand-mention-surplus-d2128cb338de | |||
| 15:51 | Test-Time Compute: What “Thinking” Models Actually Do (And What They Don’t) https://pub.towardsai.net/test-time-compute-what-thinking-models-actually-do-and-what-they-dont-8d587c1d93cd | |||
| 15:49 | What I Learned Building a RAG Pipeline Over 644 Legal Documents https://medium.com/@shaileshkumarmishra/what-i-learned-building-a-rag-pipeline-over-644-legal-documents-4599e1b24341 | |||
| 15:46 | What Actually Happens After You Click “Place Order” on an E-commerce Website? https://medium.com/@rishitakotiyal/what-actually-happens-after-you-click-place-order-on-an-e-commerce-website-47fa2af551c0 | |||
| 15:42 | Marathon by Car https://medium.com/@eliasmdilber/marathon-by-car-c70639003fb4 | |||
| 15:38 | Essential Concepts of System Design and Architecture https://abhishek-iiit.medium.com/essential-concepts-of-system-design-and-architecture-0a8befa47745 | |||
| 15:37 | Designing Modular LLM Applications with LangChain https://medium.com/@madhumithats1708/designing-modular-llm-applications-with-langchain-37d2cafa4c41 | |||
| 15:28 | Designing and Deploying LLM Applications with LangChain: A Technical Deep Dive https://medium.com/@hasnain69999/designing-and-deploying-llm-applications-with-langchain-a-technical-deep-dive-7a8742633189 | |||
| 15:20 | I’m studying future AI might erase https://medium.com/@SaidHariono/im-studying-future-ai-might-erase-cf38cdf34d23 | |||
| 14:09 | Google Just Open-Sourced a Model That Beats GPT-Level Rivals at 1/20th the Size https://tamimbuilds.medium.com/google-just-open-sourced-a-model-that-beats-gpt-level-rivals-at-1-20th-the-size-0efdfbef6310 | |||
| 13:59 | How I Built an AI-Powered LinkedIn Post Generator Using n8n and Google Gemini https://medium.com/@yashamrutkar19/how-i-built-an-ai-powered-linkedin-post-generator-using-n8n-and-google-gemini-610a085d69bb | |||
| 13:52 | Why Is Training Large Language Models So Hard? https://medium.com/jin-system-architect/why-is-training-large-language-models-so-hard-8b7f40cf4e58 | |||
| 13:45 | Building LLM Applications with LangChain: A Deep Technical Guide https://medium.com/@saqibmohammed450/building-llm-applications-with-langchain-a-deep-technical-guide-fdff95de3d9f | |||
| 12:38 | LangChain https://medium.com/@imamsab.im22/langchain-ffcb16610c92 | |||
| 12:06 | An Insight to Production-Grade LLMs https://connect2grp.medium.com/an-insight-to-production-grade-llms-a31ffe7c1c28 | |||
| 11:54 | LLM Wiki Skill: Build a Second Brain With Claude Code and Obsidian https://alirezarezvani.medium.com/llm-wiki-skill-build-a-second-brain-with-claude-code-and-obsidian-2282752758c1 | |||
| 11:51 | .NET ile Yapay Zeka Uygulamaları Geliştirme: Akış, Yapılandırılmış Çıktı ve Fonksiyon Çağırma https://medium.com/@mertomgen/net-ile-yapay-zeka-uygulamalar%C4%B1-geli%C5%9Ftirme-ak%C4%B1%C5%9F-yap%C4%B1land%C4%B1r%C4%B1lm%C4%B1%C5%9F-%C3%A7%C4%B1kt%C4%B1-ve-fonksiyon-%C3%A7a%C4%9F%C4%B1rma-c06ba59ef9cd | |||
| 11:49 | Claude for Word Just Launched. Here’s What Production AI Teams Should Know. https://medium.com/@sattyamjain96/claude-for-word-just-launched-heres-what-production-ai-teams-should-know-8bf6b8616682 | |||
| 11:46 | CLAUDE CODE VS CHATGPT CODEX: Which is a better choice? https://medium.com/@ahmeteminarn2013/claude-code-vs-chatgpt-codex-which-is-a-better-choice-43dc2dcdbcce | |||
| 11:41 | Anthropic’s Claude Model Family in 2026: An Analytical Guide for Builders https://medium.com/@utkarshmisra1/anthropics-claude-model-family-in-2026-an-analytical-guide-for-builders-62d4c14784e5 | |||
| 11:40 | LangChain: Building Intelligent LLM Applications from the Ground Up https://medium.com/@aadithyaar22/langchain-building-intelligent-llm-applications-from-the-ground-up-ac53f4101762 | |||
| 11:02 | Building an AI-Powered PR Reviewer with AWS Bedrock and GitHub Actions https://medium.com/@jayshah5109/building-an-ai-powered-pr-reviewer-with-aws-bedrock-and-github-actions-de82c4408035 | |||
| 11:01 | Anthropic's Mythos Will Force a Cybersecurity Reckoning–Just Not the One You Th https://www.wired.com/story/anthropics-mythos-will-force-a-cybersecurity-reckoning-just-not-the-one-you-think/ | |||
| 10:55 | The Last Person Who Could Think https://medium.com/@jaysenpatil158/the-last-person-who-could-think-9a633e0ad51c | |||
| 10:54 | Designing LLM-Powered Applications with LangChain: From Concept to Code https://medium.com/@umaponugoti18/designing-llm-powered-applications-with-langchain-from-concept-to-code-5da4bd938453 | |||
| 10:53 | DAG vs LLM: Rethinking Orchestration in AI Systems https://levelup.gitconnected.com/dag-vs-llm-rethinking-orchestration-in-ai-systems-3e7cc47b0490 | |||
| 10:34 | Strong Model First or Weak Model First? A Cost Study for Multi-Step LLM Agents https://llm-spec.pages.dev/ | |||
| 10:31 | 9 Things That Break When You Ship an AI Agent to Real Users https://medium.com/@kollaikalrupesh/9-things-that-break-when-you-ship-an-ai-agent-to-real-users-260baea31db0 | |||
| 10:27 | Agentic AI: The Shift from Chatbots to Autonomous Workers https://medium.com/@ashwindevelops/agentic-ai-the-shift-from-chatbots-to-autonomous-workers-8219492c0bae | |||
| 10:24 | Building a Voice-Controlled Local AI Agent with Whisper, Groq, and Ollama https://medium.com/@ayaanrzaveri/building-a-voice-controlled-local-ai-agent-with-whisper-groq-and-ollama-8e96a708c2d9 | |||
| 09:20 | MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2 https://www.marktechpost.com/2026/04/12/minimax-just-open-sourced-minimax-m2-7-a-self-evolving-agent-model-that-scores-56-22-on-swe-pro-and-57-0-on-terminal-bench-2/ | |||
| 09:18 | The hidden math behind running LLMs locally. https://medium.com/@mharish12/the-hidden-math-behind-running-llms-locally-a966bedf3910 | |||
| 07:45 | Beyond the Prompt: Engineering LLM Systems with LangChain https://medium.com/@ranadeepkooragayala/beyond-the-prompt-engineering-llm-systems-with-langchain-d91da3ef0a61 | |||
| 07:41 | Building a Hebrew Podcast Pipeline: What I Learned About the State of Hebrew AI https://medium.com/@danielschwartzer/building-a-hebrew-podcast-pipeline-what-i-learned-about-the-state-of-hebrew-ai-94023765eff2 | |||
| 07:35 | Building smarter text analysis agents with Azure Language and MCP https://medium.com/iceapple-tech-talks/building-smarter-text-analysis-agents-with-azure-language-and-mcp-dcfe1d20e15f | |||
| 07:31 | Metadata & Filtering — Precision in Retrieval https://arvita-writes.medium.com/metadata-filtering-precision-in-retrieval-e8db12603abd | |||
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