LLM News and Articles

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Sunday, 2026-04-12
18:36OpenAI says to update Mac apps ChatGPT and Codex as security precaution
18:35LangChain Deep Technical Blog: Designing Modular LLM Applications with End-to-End Implementation
18:18From Prompts to Intelligent Systems: A Deep Dive into LangChain Architecture and Applications
17:55Artificial Intelligence Lab: A Practical Roadmap to Modern AI Systems
17:16What Large Language Models Imply About Machine Capabilities
16:41Mastering Agentic AI #1: Naive RAG’den Otonom Akıllı Ajanlara
16:30Data Pollution Is the Biggest Threat to AI -Not Model Size
15:59From Prompts to Agents: A Deep Technical Exploration of LangChain Architecture
15:57Top 7 Places to Learn Agentic AI in 2026
15:52The Gemma 4 Project, Cloud DevOps Engineer’s Guide, MIT & Stanford New Courses | Issue 83
15:51Beyond Flat Metrics: Brand Mention Surplus
15:51Test-Time Compute: What “Thinking” Models Actually Do (And What They Don’t)
15:49What I Learned Building a RAG Pipeline Over 644 Legal Documents
15:46What Actually Happens After You Click “Place Order” on an E-commerce Website?
15:42Marathon by Car
15:38Essential Concepts of System Design and Architecture
15:37Designing Modular LLM Applications with LangChain
15:28Designing and Deploying LLM Applications with LangChain: A Technical Deep Dive
15:20I’m studying future AI might erase
14:09Google Just Open-Sourced a Model That Beats GPT-Level Rivals at 1/20th the Size
13:59How I Built an AI-Powered LinkedIn Post Generator Using n8n and Google Gemini
13:52Why Is Training Large Language Models So Hard?
13:45Building LLM Applications with LangChain: A Deep Technical Guide
12:38LangChain
12:06An Insight to Production-Grade LLMs
11:54LLM Wiki Skill: Build a Second Brain With Claude Code and Obsidian
11:51.NET ile Yapay Zeka Uygulamaları Geliştirme: Akış, Yapılandırılmış Çıktı ve Fonksiyon Çağırma
11:49Claude for Word Just Launched. Here’s What Production AI Teams Should Know.
11:46CLAUDE CODE VS CHATGPT CODEX: Which is a better choice?
11:41Anthropic’s Claude Model Family in 2026: An Analytical Guide for Builders
11:40LangChain: Building Intelligent LLM Applications from the Ground Up
11:02Building an AI-Powered PR Reviewer with AWS Bedrock and GitHub Actions
11:01Anthropic's Mythos Will Force a Cybersecurity Reckoning–Just Not the One You Th
10:55The Last Person Who Could Think
10:54Designing LLM-Powered Applications with LangChain: From Concept to Code
10:53DAG vs LLM: Rethinking Orchestration in AI Systems
10:34Strong Model First or Weak Model First? A Cost Study for Multi-Step LLM Agents
10:319 Things That Break When You Ship an AI Agent to Real Users
10:27Agentic AI: The Shift from Chatbots to Autonomous Workers
10:24Building a Voice-Controlled Local AI Agent with Whisper, Groq, and Ollama
09:20MiniMax 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
09:18The hidden math behind running LLMs locally.
07:45Beyond the Prompt: Engineering LLM Systems with LangChain
07:41Building a Hebrew Podcast Pipeline: What I Learned About the State of Hebrew AI
07:35Building smarter text analysis agents with Azure Language and MCP
07:31Metadata & Filtering — Precision in Retrieval
07:29When Code Starts to Feel Alive ft. VibeCodeArena
07:26LangChain Deep Technical Blog: Building Modular LAG-Powered Applications with Python
07:22The Accidental Open Source: What Claude Code’s Leaked Source Code Tells Us About the Future of AI…
07:19LangChain Explained: Building LLM-Powered Apps the Right Way
07:19Not Every Prediction Deserves Confidence
07:19Can a Chatbot Contradict Itself and Still Sound Smart?
07:17LangChain Deep Technical Guide: From Prompt Engineering to Dynamic LLM Pipelines
06:47Mastering LLM Orchestration: A Deep Dive into the LangChain Framework
06:27Gemma 4: What It Really Means for Production AI Systems
06:26Google DeepMind’s Gemma 4: A New Era of Local, Open AI
06:05What Makes Anthropic’s Mythos So Good at Cybersecurity?
05:50The Elegance of MoE: How Gemma 4’s 26B Model Runs Like a 4B Model
05:46Building LLM Applications with LangChain: A Deep Technical Guide
05:45Anthropic downgraded cache TTL on March 6th
05:39Fine-Tuning LLMs on Google Colab: A Guide to Unsloth Studio
04:31LLM Internals Series
04:02An LLM That Watches Your Logs and Kills Compromised Services at 3am
03:56The biggest advance in AI since the LLM
03:48This Text Was Written by an AI
03:46LangChain: From AI Buzzword to My Favorite Development Framework
03:35Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major US banks
03:276 AI Terms Everyone Pretends to Understand (And Almost Nobody Actually Does)
03:14LLM VS SLM
02:38Anthropic loses appeals court bid to pause supply chain risk label
02:28Transformers through the lens of an Immunologist
02:22I Built an LLM Eval Tool in 2 Hours. Here’s What I Learned About Measuring AI Accuracy.
02:19[UC Santa Barbara / MIT] — How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill…
02:16Gemma 4 Just Got “Jailbroken”, The Most Powerful Uncensored 31B Model Yet
02:09llama.cpp — the gateway to HuggingFace model bonanza
02:05Qwen 3.6 Plus Just Hit 1 Trillion Daily Tokens — Here’s Why Developers Are Ditching /M Claude for…
00:27After the Attack on Sam Altman's Home, Will AI CEOs Go on the Offensive?
00:12He Told AI “Always Format My Code”… It Didn’t Listen
Saturday, 2026-04-11
23:12Reusable Claude Skills as a Living Codebase
22:55Before You Touch OpenClaw, Read This
22:47A Mind Out of Time
22:46Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
22:45Architecting the Future: Why the Next Era of Customer Support Must Be Agentic and Human-Centered
22:34Architecting the AI Ecosystem: How Autonomous Agents are Redefining Customer Experience
22:3310 Must-Have Skills for Claude (and Any Coding Agent) in 2026
22:20I Didn’t Pay a Single Dollar to Use Claude Code — Here’s Exactly How
22:15Building an A2A Agent with Google Cloud (ADK + MCP)
22:08Por qué los LLM locales sí tienen ventaja real para construir infraestructura cultural en LATAM
21:57Claude Code Is No Longer a Coding Assistant. It’s an AI Worker Manager.
21:06From Syntax to Vectors: Chomsky Revisited in AI
20:10Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
19:33Civilizational Proof-of-Work: A Critical Analysis
19:33LangChain: The Orchestration Layer That Powers Modern LLM Applications
19:29Structural Limits of Statistical Language Models
19:25The Quiet AI Index That Might Kill the “Bigger Model” Race
18:57From Prompts to Agents: A Deep Technical Guide to LangChain
18:49Claude Code is Great. You Just Need to Learn How to Use It.
18:48Claude Code Ultraplan Launched: I Just Tested It (And It’s Better Than It Looks)
18:47RAG Is Not What You Think It Is. The Math Says Something Else Entirely
18:36Context Rot: Why Your AI Hallucinates Like an Alzheimer’s Patient And What to Do About It
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