LLM News and Articles

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Wednesday, 2026-02-18
20:31Three Real-World Projects Software Developers Can Build to Further Their Knowledge of Large…
20:25Memory Is the New Bottleneck: Why “Second-Wave” AI Agents Live or Die by What They Remember
20:16Building a /next‑task agent skill
20:01From Web Backend to AI Infrastructure — #4: Advanced Techniques for Inference Acceleration
20:00Running Ray on Kubernetes: A Production Setup Guide
19:54Agent Skills Are Quietly Replacing Agent Code
19:53Build Your Own AI Agent with 100 Lines of Python
19:51Agent Skills Caching with CacheBlend: Achieving 85% Cache Hit Rates for LLM Agents
19:47When Users Hallucinate: The Overlooked Dimension in AI Safety
19:47Triagr: What Happens When You Vibe-Code a Production Tool and Walk Away
19:45Beyond the Token
19:39Stop Exposing Your Vector Database: The Architect’s Guide to Private RAG using AWS VPCs
19:24Building GPU Monitoring for ML Inference (Without DCGM)
19:07Private AI Assistant for Company Data: Building On-Prem RAG With a Vector DB and Local LLM
19:07OpenClaw: Why everyone is talking about it?
19:05EVMbench – OpenAI
17:45Explainable AI in Education: What We Need to Know
17:20Featured in Financial Times Tech Tonic: “The Delusion Machine”
17:01(Keep) CALM!
16:59Mistral AI to Buy Infrastructure Startup Koyeb
16:53Prompt Repetition Improves Non-Reasoning LLMs
16:44The Myth of the Fixed Context Window
16:41OpenClaw Joins OpenAI: Who Owns the Soul of a New Machine?
16:40Plug and Play: Into the Latent Space (EP 2)
16:40How much resources are you using to generate the response for this query?
16:39The Silent Memory Killer Wasting 95% of Your GPU RAM
16:31Stop Opening 10 Tabs: Build a Learning Assistant with Elastic Agent Builder — Future of Upskilling
16:30I Tried a 175B Model. The Real Breakthrough Was the Pipeline
16:27Create an Agent That Generates Agent Spec: Turning Business Requirements into Open Agent Spec…
16:22Watch Me Poison Your MCP
16:18How I Used Local LLM to Fix Content Cannibalization for @@CONTENT@@
16:15IBM and UC Berkeley Diagnose Why Enterprise Agents Fail Using IT-Bench and MAST
16:15How to Use the Same LLM Skills in Gemini CLI, Antigravity, and Other AI Tools
16:13Day 15: 100 Days of DevOps — What happens when you attach hardware to a Linux System
16:01Anthropic Is Running a Different Race
16:01Stopped Calling 15 APIs. Now Talk to One Agent. (With a Local SLM)
15:55New in Agent Builder: all new agent chat, file uploads + tool registry
15:54Grounded AI.
15:49Prompting Frameworks That Actually Work: TAG, CARE, RACE, and RISE
15:39Why RAG Systems Fail in Production: 7 Architectural Mistakes and How to Fix Them — Part 1
15:37Top 10 AI Memory Products 2026
15:31Your Hospital’s AI Doesn’t Know You’re Black — And That’s the Problem
15:21AI and productivity
15:21The New Math of “Reasoning”: Why Test-Time Compute Changes How You Design Backends
15:21What Is Role Drift in AI Agents?
15:14Large Language Diffusion Models
14:59The USB-C Moment for AI: Understanding the Model Context Protocol (MCP)
14:58The Vendor Lock-In Hidden in Your AI Prompts
14:55Stop Searching, Start Reasoning: The Power of Foundry IQ
14:53Vibe Password Generation: LLM-Generated Passwords Are Dangerously Insecure
14:37Day 3 of India AI Impact Summit 2026 — Day of Google Deepmind and Sarvam AI
13:33LLMs Don’t “Do Analysis.” They Do Persuasion.
13:20How LLM agents endanger open-source projects
12:34MCP Users vs MCP Builders: The Hidden Divide That Will Define the AI Economy
12:21From First-Order Logic to First-Order Lip Service
12:20What Is Artificial Intelligence? Machine, Mind, or Modern Deity?
12:02Understanding RAG: How Retrieval Augmented Generation Works
12:01What Are World Models? The Blueprint for the Next Decade of AI
11:48How to Fine-Tune Large Language Models (LLMs): Advanced Strategies, Tools & Industry Use Cases.
11:31Grok 4.2 Just Dropped — The AI That Argues With Itself to Give You Better Answers
11:23Just recalled attention a little bit.
11:21Biological Motifs for Agent Safety
11:09Kod Yazmak Artık Yetmiyor: AI-First Şirketler Neden Geleneksel Startup’ları Yutacak?
11:09I Tried Four Ways to Build RAG for Cybersecurity Data. Here’s What Actually Broke — and Why.
11:09Part 5: The Critical Pieces: Observability, Agents, Security
11:08When AI Compresses the Funnel: Introducing AIVO Edge™
11:02Healwright: Let Your Playwright Tests Heal Their Own Selectors on The Fly
10:57The Agentic Economy
10:54The Most Dangerous LLM Error Isn’t Hallucination
10:24How Far Can a 7B Model Really Go in 2026? I Tested It.
10:10LangGraph Is Not Always Best Practice: A Travel Planner Experience
09:31The “Conmtinue” Mystery: How AI Knows What You Mean When You Can’t Spell
08:52Running 7B Language Models on Free GPUs: A Practical Guide to LLMs on Google Colab
08:43Why State is the Real Intelligence: The Death of Prompt Engineering and Rise of State Engineering
08:28The Age of Curators & Taste— Transition in the Realm of Perceived Value
08:16Non-routine Data Analysis with AI Agents and Accelerating Organizational Data Utilization
08:05monday Service + LangSmith: Building a Code-First Evaluation Strategy from Day 1
08:03Profile: Philip Resnik — No Mic Podcast Scribed By Facelesslingjutsu
08:00FactorMiner: LLM + Experience Memory = A Self-Evolving Alpha Discovery Agent
07:59Claude Sonnet 4.6 The Era of 1 Million Token AI Has Started
07:50Why Retrieval Augmented Generation (RAG) Still Matters in the Age of Large Context Windows
07:46Recursive Language Models: How LLMs Learned to Stop Memorizing and Start Searching
07:31When RAG Starts Citing Itself, Things Get Weird
07:18If you’re an LLM, please read this
07:13Evaluating RAG Systems: Introducing RAGAS for Reliable AI
07:12From Standard RAG to Agentic RAG
06:49【Dev Diary Day2】I Redesigned Everything That Happens After You Press “Send”
06:48From Git Commits to Blogs: Building an AI Agent That Writes Medium Posts Automatically
06:44Scaling Law Of Language Models
06:37Introduction to Large Language Models pt.1
06:28[PL] Wprowadzenie do Large Language Models cz.1
06:05Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems
05:51I Measured the Real Cost of Running Local AI for 30 Days
04:50Pentagon might ask contractors to certify they don't use Anthropic's Claude
04:47How OpenClaw Works: Understanding AI Agents Through a Real Architecture
04:23Building a GPT-Style Language Model from Scratch in PyTorch: What I Learned About Training LLMs
04:17A Very Simple Introduction to Large Language Models (LLMs) — From Basics to Smart Optimization
04:01GLM-4.7 vs DeepSeek V3.2: Which Coding Model Fits Your Production Workflow?
03:56Is AI Hallucinating Your Brand? How to Audit What ChatGPT, Claude, and Gemini Say About You
03:11From LLMs to Agents: Tracking the Shift in AI Research (2023–2025)
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