LLM News and Articles
| Sunday, 2026-01-25 | ||||
| 01:31 | The Definitive Guide to ChatGPT Understanding the AI Revolution https://medium.com/@ankeshwarm76/the-definitive-guide-to-chatgpt-understanding-the-ai-revolution-7fe9ad5adad3 | |||
| 00:57 | 6 Common LLM Customization Strategies Briefly Explained https://destingong.medium.com/6-common-llm-customization-strategies-briefly-explained-501bde1cf498 | |||
| 00:47 | AI Friends: Helpful or Harmful? https://medium.com/@darryl.mcniece/ai-friends-helpful-or-harmful-d5fbc1b95b61 | |||
| 00:09 | Why Agentic Workflows Are the Real Breakthrough in LLM Systems https://medium.com/@hatheemrafeek9999/why-agentic-workflows-are-the-real-breakthrough-in-llm-systems-ff1a27c00a17 | |||
| 00:04 | The Hidden Engine of AI: Cracking the GPT Tokenizer https://medium.com/@SuriNaren/the-hidden-engine-of-ai-cracking-the-gpt-tokenizer-9c40129ffcf0 | |||
| Saturday, 2026-01-24 | ||||
| 23:48 | Audit-Ready AI: Implementing the EU AI Act with Local Guardrails and Langfuse https://rizahorasan.medium.com/audit-ready-ai-implementing-the-eu-ai-act-with-local-guardrails-and-langfuse-e7cd0e66120d | |||
| 23:41 | Next-Gen Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration https://shilpathota.medium.com/next-gen-event-driven-architectures-performance-scalability-and-intelligent-orchestration-007bbdb96af7 | |||
| 23:19 | How I Built a Local Uncensored AI Stack for Red Teaming in 2026 (Full Guide) https://saadkhalidhere.medium.com/how-i-built-a-local-uncensored-ai-stack-for-red-teaming-in-2026-full-guide-a84bedfa4021 | |||
| 23:17 | Insights about Switch Transformers Paper https://medium.com/@bhushan.shah05/insights-about-switch-transformers-paper-ae681b7b65cf | |||
| 22:50 | I Built a Python Library to Strip Sensitive Data From My Training Sets — Here’s What I Learned https://medium.com/@not_mordecai/i-built-a-python-library-to-strip-sensitive-data-from-my-training-sets-heres-what-i-learned-569ba43e466f | |||
| 22:37 | Musk vs. Altman https://www.courtlistener.com/docket/69013420/379/75/musk-v-altman/ | |||
| 22:32 | Introducing MindBalancer: The ProxySQL for AI https://brkylmzco.medium.com/introducing-mindbalancer-the-proxysql-for-ai-09131e17cda4 | |||
| 22:29 | Prompt Injection Is Not an AI Problem It Is a System Design Problem https://javing-uk.medium.com/prompt-injection-is-not-an-ai-problem-it-is-a-system-design-problem-d72b922f91cb | |||
| 22:16 | The Testing Gap Nobody Talks About: Why Your LLM Agent Probably Doesn’t Work As Well As You Think https://medium.com/@sergey.prusov/the-testing-gap-nobody-talks-about-why-your-llm-agent-probably-doesnt-work-as-well-as-you-think-af617d44187d | |||
| 22:13 | PLAN-AND-ACT: Improving Planning of Agents for Long-Horizon Tasks https://medium.com/@roshan.151tiwari/plan-and-act-improving-planning-of-agents-for-long-horizon-tasks-1be35779adad | |||
| 22:08 | AWS Bedrock Explained: Your Gateway to Building AI Apps Without the Headaches https://medium.com/@myeducation303/aws-bedrock-explained-your-gateway-to-building-ai-apps-without-the-headaches-2d0cd2e3de1a | |||
| 22:08 | I Built the Same Agent Three Times and Each Framework Lied to Me Differently https://medium.com/@sergey.prusov/i-built-the-same-agent-three-times-and-each-framework-lied-to-me-differently-1d90845f3c43 | |||
| 22:07 | Intrinsic Alignment: A Proposal for Self-Orienting AI Through Geometric Ethics Raffaele Spezia… https://medium.com/@lelesra362/intrinsic-alignment-a-proposal-for-self-orienting-ai-through-geometric-ethics-raffaele-spezia-18c5de86dbdd | |||
| 22:06 | Altman, Bezos and Zuckerberg donate to Trump's inauguration fund (2024) https://www.npr.org/2024/12/13/nx-s1-5227874/trump-bezos-zuckerberg-amazon-facebook-open-ai-meta-inauguration-fund | |||
| 21:43 | AI Fundamentals Part 1: From “Smart machines” to the magic of LLMs https://medium.com/@yousefestefan95/ai-fundamentals-part-1-from-smart-machines-to-the-magic-of-llms-0ca2345a04e9 | |||
| 21:32 | Assessing the Reliability of Large Language Models in Reporting Sports Results https://medium.com/@mihneapopescu/assessing-the-reliability-of-large-language-models-in-reporting-sports-results-ca59294ecfad | |||
| 20:54 | Claude Code configured the DNS for this website https://ruben-flam-shepherd.medium.com/claude-code-configured-the-dns-for-this-website-6c8b5d60355a | |||
| 20:24 | Why LLMs Are Cognitively Overworked: The Catastrophic Cost of Never Sleeping https://medium.com/@jivansh777/why-llms-are-cognitively-overworked-the-catastrophic-cost-of-never-sleeping-58c523e49ec9 | |||
| 20:19 | From PDFs to Actions: Building a Document Intelligence Automation Workflow with GenAI + n8n https://medium.com/@kaushalvibez/from-pdfs-to-actions-building-a-document-intelligence-automation-workflow-with-genai-n8n-45e06327a7c7 | |||
| 20:15 | High-Coherence Interaction State, Part IV: How to Recognise It (and When It’s a False Positive) https://medium.com/@anna.wojewodzka/high-coherence-interaction-state-part-iv-how-to-recognise-it-and-when-its-a-false-positive-2b33054c8a9f | |||
| 20:05 | Why AI Fails the Moment It Leaves the Demo https://medium.com/@ssatish.gonella/why-ai-fails-the-moment-it-leaves-the-demo-e68190f81d53 | |||
| 19:57 | Context Is Not Memory https://medium.com/@_layne/context-is-not-memory-6e336b8973d7 | |||
| 19:41 | How do LLMs treat “Forbes” as a source? https://medium.com/@martinperlin/how-do-llms-treat-forbes-as-a-source-984f785c9576 | |||
| 19:12 | JSON-render: LLM-based JSON-to-UI tool https://json-render.dev/ | |||
| 19:10 | I Tested the Best Copilot Alternatives for VS Code https://blog.cubed.run/i-tested-the-best-copilot-alternatives-for-vs-code-0499a8490017 | |||
| 19:01 | LLM vs LMM: Why AI is Shifting From Text to Multimodal https://medium.com/@mohit-cloudkompas/llm-vs-lmm-why-ai-is-shifting-from-text-to-multimodal-19df9c41cb05 | |||
| 18:51 | I Let AI Upgrade a Real Enterprise Angular App to v21. Here’s What Actually Happened. https://medium.com/@ganesh.s.gurav/i-let-ai-upgrade-a-real-enterprise-angular-app-to-v21-heres-what-actually-happened-d89ff9d5aae6 | |||
| 18:47 | Uipath’de LLM Kullanımı https://medium.com/@huseyin.kizil/uipathde-llm-kullan%C4%B1m%C4%B1-60eb1c5cf8f8 | |||
| 18:29 | VLA+ Models: When Artificial Intelligence Moves from Talking to Acting https://medium.com/ai-mindset/vla-models-when-artificial-intelligence-moves-from-talking-to-acting-c9b4e4fd8cdb | |||
| 18:26 | The Claude Code creator says AI writes 100% of his code now https://jpcaparas.medium.com/the-claude-code-creator-says-ai-writes-100-of-his-code-now-956b2a5905ba | |||
| 18:06 | Why Your RAG System Fails on Technical Documents (And How to Fix It) https://medium.com/@officialchiragp1605/why-your-rag-system-fails-on-technical-documents-and-how-to-fix-it-5c9e5be7948f | |||
| 17:54 | I Built a RAG System That Actually Understands Documents (And You Can Too) https://medium.com/@vg7134/i-built-a-rag-system-that-actually-understands-documents-and-you-can-too-0c02c5945263 | |||
| 16:18 | Ordering Food with AI: My First Zomato Order Using MCP and Claude Desktop https://medium.com/tech-t/ordering-food-with-ai-my-first-zomato-order-using-mcp-and-claude-desktop-ab135b7fc9f9 | |||
| 16:13 | Introduction to Data Parallelism and CUDA https://medium.com/@emmanuelalo52/introduction-to-data-parallelism-and-cuda-6d2e179be66a | |||
| 16:11 | Responsible AI on AWS: Implementing Guardrails, Content Filters, PII Protection, and Grounding with… https://vinod827.medium.com/responsible-ai-on-aws-implementing-guardrails-content-filters-pii-protection-and-grounding-with-828dd6332a6f | |||
| 16:11 | Responsible AI on AWS: Implementing Guardrails, Content Filters, PII Protection, and Grounding with… https://levelup.gitconnected.com/responsible-ai-on-aws-implementing-guardrails-content-filters-pii-protection-and-grounding-with-828dd6332a6f | |||
| 16:02 | The 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models https://pub.towardsai.net/the-7-essential-types-of-llm-benchmarking-a-complete-guide-to-evaluating-ai-language-models-c95912a2df1d | |||
| 15:44 | Supercharge Your AI Assistants with MCP Servers https://medium.com/@ericfflynn/supercharge-your-ai-assistants-with-mcp-servers-1af481bdbed6 | |||
| 15:42 | LLMs não escolhem palavras https://medium.com/@regisnunesvargas5/llms-n%C3%A3o-escolhem-palavras-ef69abebf839 | |||
| 15:41 | KV Cache in LLM Inference https://pub.towardsai.net/kv-cache-in-llm-inference-7b904a2a6982 | |||
| 15:32 | On-Device AI in 2026: What It Means for Privacy, Speed, and Creativity https://ai.plainenglish.io/on-device-ai-in-2026-what-it-means-for-privacy-speed-and-creativity-92dbe6140af3 | |||
| 15:23 | 5 reasons why I stopped using ChatGPT https://medium.com/@LifeUnfiltered/5-reasons-why-i-stopped-using-chatgpt-8309ed4a031f | |||
| 15:23 | The State of Artificial Intelligence (by GPTs), Early 2026 https://medium.com/@mr_86873/the-state-of-artificial-intelligence-by-gpts-early-2026-cf13135daa1b | |||
| 15:02 | RAG is easy to demo and hard to reason about https://medium.com/@abhig08_36201/rag-is-easy-to-demo-and-hard-to-reason-about-98d37ed9abf1 | |||
| 14:58 | I Replaced Vector RAG With GraphRAG — Here’s What Changed (Python) https://medium.com/@krtarunsingh/i-replaced-vector-rag-with-graphrag-heres-what-changed-python-5b68eb707c0b | |||
| 14:57 | A Practical Scorecard for Measuring Enterprise Decision Intelligence Performance https://pub.towardsai.net/a-practical-scorecard-for-measuring-enterprise-decision-intelligence-performance-5f58bfde3446 | |||
| 14:56 | Persistence in LangGraph — Deep, Practical Guide https://pub.towardsai.net/persistence-in-langgraph-deep-practical-guide-36dc4c452c3b | |||
| 14:34 | The Seed in the Storm: Why Ethics Is the Path of Least Friction. https://medium.com/@MaGo64/the-seed-in-the-storm-why-ethics-is-the-path-of-least-friction-5754e44cb601 | |||
| 14:27 | Why Your Model Performed Beautifully in Jupyter but Failed Miserably in Production https://blog.devgenius.io/why-your-model-performed-beautifully-in-jupyter-but-failed-miserably-in-production-951e5ab2fcee | |||
| 14:23 | AI Automation Journey: From L1 Chaos to L3 Precision (Part 1) https://medium.com/@vineet.dpnd.ofc/ai-automation-journey-from-l1-chaos-to-l3-precision-part-1-9abf4c5810cc | |||
| 14:21 | Making Someone Read AI-Generated Text Is Abuse. Experience Is The New Commodity. https://freefabian.medium.com/making-someone-read-ai-generated-text-is-abuse-experience-is-the-new-commodity-38da1a6ecc31 | |||
| 13:02 | Llama Guard: What It Actually Does (And Doesn’t Do) https://medium.com/@joshua.p.gracie/llama-guard-what-it-actually-does-and-doesnt-do-0d27ed2185f4 | |||
| 12:46 | How I Got an AI Coding Assistant Running 100% Local and Free (Claude Code + Ollama) but the truth… https://medium.com/ai-simplified-in-plain-english/how-i-got-an-ai-coding-assistant-running-100-local-and-free-claude-code-ollama-but-the-truth-2ef83d4bfa5c | |||
| 12:31 | AI Terms like LLM , RAG , Embeddings … Finally Explained Like a Human , Not a Research… https://medium.com/@jmistry94/ai-terms-like-llm-rag-embeddings-finally-explained-like-a-human-not-a-research-9a929378dcbe | |||
| 12:25 | If an AI Summarized Your Company Today, Could You Prove It Tomorrow? https://medium.com/@tim_62250/if-an-ai-summarized-your-company-today-could-you-prove-it-tomorrow-8aa83a9c4747 | |||
| 12:12 | Foundations of LLM Inference Optimization: Understanding KV Caching and PagedAttention https://medium.com/@notsokarda/foundations-of-llm-inference-optimization-understanding-kv-caching-and-pagedattention-95f3b72a45ea | |||
| 12:04 | Langchain4j 101: Hello World with ChatClient — Mastering API https://mohankumarsagadevan.medium.com/langchain4j-101-hello-world-with-chatclient-mastering-api-acae956a1f8b | |||
| 12:02 | Coherence Without Comprehension: Inside How AI Writes Language https://medium.com/@Myyousseff/coherence-without-comprehension-inside-how-ai-writes-language-30f1bc32e17e | |||
| 11:48 | Profile: Jesse Dodge — No Mic Podcast Scribed By Facelesslingjutsu https://medium.com/@jolalf/profile-jesse-dodge-no-mic-podcast-scribed-by-facelesslingjutsu-07a2a3bb0862 | |||
| 11:47 | The Privacy Risk Nobody Talks About When Using AI https://iotforce.medium.com/the-privacy-risk-nobody-talks-about-when-using-ai-5cb590fdd01d | |||
| 11:44 | How Data Scientists Use LLMs for Faster Model Building https://medium.com/@zarahameen2001/how-data-scientists-use-llms-for-faster-model-building-0be65f6a88e6 | |||
| 11:22 | Engram: Why Large Language Models Need Memory, Not Just More Compute https://medium.com/@bingqian/engram-why-large-language-models-need-memory-not-just-more-compute-f5b91bad74f3 | |||
| 11:12 | The Best Prompt Techniques That AI Users Should Use When Dealing With LLMs https://medium.com/@oomertuurk/the-best-prompt-techniques-that-ai-users-should-use-when-dealing-with-llms-6b7b75e6f4ff | |||
| 11:09 | Learning Path untuk Belajar Natural Language Processing https://medium.com/@feliksmakarios/learning-path-untuk-belajar-natural-language-processing-0930294c4069 | |||
| 11:07 | How to Know If Your RAG Actually Works https://pub.towardsai.net/how-to-know-if-your-rag-actually-works-c75134016cac | |||
| 10:34 | Building an AI-Powered Multi-Repository Impact Analyzer https://medium.com/@dhandedhan/building-an-ai-powered-multi-repository-impact-analyzer-2247ab0c81a7 | |||
| 10:26 | LLM vs Agentic AI: Understanding the Evolution of Artificial Intelligence https://medium.com/@xsankalp13/llm-vs-agentic-ai-understanding-the-evolution-of-artificial-intelligence-1c86e107765a | |||
| 10:20 | From 780GB to One GPU: The QLoRA Playbook for High-Performance LLMs https://medium.com/@rogt.x1997/from-780gb-to-one-gpu-the-qlora-playbook-for-high-performance-llms-efad2c310f17 | |||
| 10:19 | “Sources” in ChatGPT — what it is, and how it relates to Inferential Memory https://blog.gopenai.com/sources-in-chatgpt-what-it-is-and-how-it-relates-to-inferential-memory-8cf659124826 | |||
| 10:17 | The AI Developer Stack Is Finally Growing Up (and It’s About Time) https://abvcreative.medium.com/the-ai-developer-stack-is-finally-growing-up-and-its-about-time-ac8b7d2e02b9 | |||
| 10:05 | Vibe coding: tips and tricks https://khalidadouibi.medium.com/vibe-coding-tips-and-tricks-87d9c56ae27a | |||
| 09:51 | Building a Semantic API Discovery System using RAG https://medium.com/@Rupanshi-Jain/building-a-semantic-api-discovery-system-using-rag-26a5f107791e | |||
| 09:33 | What Pulling Espresso Taught Me About Building Enterprise AI Agents https://levelup.gitconnected.com/what-pulling-espresso-taught-me-about-building-enterprise-ai-agents-28024c487ef5 | |||
| 09:15 | Building Language Models from Scratch: A Foundation-First Journey https://medium.com/@bugbreaker18/building-language-models-from-scratch-a-foundation-first-journey-bdddd1098139 | |||
| 08:55 | What Makes a Generative AI Training “Job-Oriented” in 2026?What https://medium.com/@brollyai.com/what-makes-a-generative-ai-training-job-oriented-in-2026-what-5ac8fddbc524 | |||
| 08:39 | Role Prompting in LLMs: What Changes and What Doesn’t https://medium.com/@amitabh.roy.choudhary/role-prompting-in-llms-what-changes-and-what-doesnt-b2c80230e8a3 | |||
| 08:33 | How LlamaParse works in RAG pipelines https://andreabelvedere.medium.com/how-llamaparse-works-in-rag-pipelines-27dc30c5684e | |||
| 08:33 | The Math of Reliable Agents: Confidence Scoring, Abstention, and When Your Backend Should Say “I… https://medium.com/@hadiyolworld007/the-math-of-reliable-agents-confidence-scoring-abstention-and-when-your-backend-should-say-i-0519bbfb12c0 | |||
| 08:21 | Saad Punjwani Pioneer Of LLM Search Optimization & Generative Engine Optimization (GEO) https://medium.com/@theokhai2/saad-punjwani-pioneer-of-llm-search-optimization-generative-engine-optimization-geo-02155845060f | |||
| 07:31 | Prompt Serialization Explained: ChatML, Alpaca & Instruction Formats Every AI Developer Should Know https://medium.com/codex/prompt-serialization-explained-chatml-alpaca-instruction-formats-every-ai-developer-should-know-45b97f81d357 | |||
| 06:54 | vLLM Quickstart: High-Performance LLM Serving https://medium.com/@rosgluk/vllm-quickstart-high-performance-llm-serving-280601c1e9be | |||
| 06:38 | Context Is the New Prompt: Engineering AI Agents That Truly Understand Security Signals https://medium.com/@kruparulz14_69780/context-is-the-new-prompt-engineering-ai-agents-that-truly-understand-security-signals-d658081dbac4 | |||
| 06:31 | Enterprise AI Implementation: Data Isolation, Tool Selection, and Architecture Design https://medium.com/@wyzbelinda/enterprise-ai-implementation-data-isolation-tool-selection-and-architecture-design-253fa4c52da4 | |||
| 06:16 | Dify AI: Democratizing LLM Application Development — A Comprehensive Guide https://nandanpriyadarshi.medium.com/dify-ai-democratizing-llm-application-development-a-comprehensive-guide-6d5ec8c5ce52 | |||
| 05:09 | Building AI Agents That Actually Work: A Deep Dive into the Model Context Protocol https://medium.com/@harsh2013/building-ai-agents-that-actually-work-a-deep-dive-into-the-model-context-protocol-aa6e9eb65761 | |||
| 05:08 | ouseHow to Write Better AI Prompts: The Art of Unlocking Hidden Layers https://gopalkoladiya.medium.com/ousehow-to-write-better-ai-prompts-the-art-of-unlocking-hidden-layers-0cbc4f75f817 | |||
| 04:48 | SQL JOINS https://medium.com/@quipoin04/sql-joins-184dca0fc2e7 | |||
| 04:32 | Build Local AI Image Generation with Ollama (No Cloud, No API Keys) https://tarzzotech.medium.com/build-local-ai-image-generation-with-ollama-no-cloud-no-api-keys-1bd221349130 | |||
| 04:08 | From RPA to Agentic Process Automation https://medium.com/@fred_28941/from-rpa-to-agentic-process-automation-fa325d678df9 | |||
| 03:49 | Gradual Disempowerment does not look like a Scene of Violence https://medium.com/@amit_tushar/gradual-disempowerment-does-not-look-like-a-scene-of-violence-4794552d3cf0 | |||
| 03:46 | Prompt Caching Saves Money Until It Doesn’t https://medium.com/@mdfadil/prompt-caching-saves-money-until-it-doesnt-8519c470918d | |||
| 03:39 | HiChunk: A Hierarchical Chunking Method That Turns Fragments into Flow https://medium.com/ai-exploration-journey/hichunk-a-hierarchical-chunking-method-that-turns-fragments-into-flow-513a60af48e2 | |||
| 03:38 | MCP vs Traditional API Calls in Production: Promises, Pitfalls, and Proper Use https://bytebridge.medium.com/mcp-vs-traditional-api-calls-in-production-promises-pitfalls-and-proper-use-e0550c4b8065 | |||
| 03:37 | When Is a Vector Database Actually Necessary? A Practical Guide with Real Examples https://medium.com/@priyankanarla.pn/when-is-a-vector-database-actually-necessary-a-practical-guide-with-real-examples-b9f1afa4d4bb | |||
| 03:34 | The AI Taxonomy: From Predicting Words to Mastering Logic https://medium.com/@ajayverma23/the-ai-taxonomy-from-predicting-words-to-mastering-logic-edf3304b527f | |||
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Release v20241124