LLM News and Articles

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Monday, 2025-11-10
19:51Part 4— Evaluating Agentic AI Systems: The Complete Framework
19:44AI’s Fatal Flaw: A Building with No Fire Escape — AIG Essay #13
19:44Fun Funnel Magic App
19:32Comparing Agent Framework Architecture with Real Frameworks
19:13I refuse to date someone who uses ChatGPT
18:55How a Well-Planned Website Structure Impacts SEO
18:24Show HN: Papiers.ai – A new interface for ArXiv
18:24SEAL : Self-Adapting Language Models That Learn Like Humans
18:11Tweaking GenAI LLM locally using Ollama
18:09Why Big Tech Is Giving Away AI for Free — and the Smart Business & Opportunity Behind It
18:02The Role of Attention — Why Transformers Changed AI Forever
17:58The Smart New Way to Save Tokens in AI APIs
17:56Reflexões sobre a inteligência artificial
17:52Why AI can’t take over creative writing
17:45Is Polaris Alpha a GPT-5.1?
17:23TOON vs. JSON: A Simple Guide to Speaking the Language of AI
17:00From Busywork to Brainwork: How AI Helps You Reclaim Creative Energy
16:45Quantizing LLMs with llama.cpp
16:37Build an AI Voice Yoga Instructor in Python
16:32Optimizing LLM Inference
16:30The Silent Revolution: How the Attention Mechanism Has Rewritten the Rules of Artificial…
16:27MCP just went Beta — it's finally a production piece.
16:26The Anatomy of RAG
16:12Google Unveils HOPE, A Self-Modifying AI Model Aiming To Learn Like Humans.
16:08Prompt Engineering, Explained Like Making a Sandwich
16:05The Next Breakthrough in AI: From Lone Genius to Project Manager
15:55Experience: My Struggle with Feedback Surveys — Until the AI Question Generator & Kano Model…
15:53Building a GraphRAG System: From Raw Data to Intelligent Queries
15:49Exploratory Decoding: Turning Idle GPU Power into Cognitive Exploration
15:43Stop Guessing What Users Want: How SurveyMars’ AI Question Generator & Kano Model Elevate Feedback…
15:32Searching over functions, not graphs: a kernel-based blueprint for NAS and its complexity…
15:20LLM – How It Really Began
15:17Logging In as Human: How Your Brain Creates Reality and how AI Mimics It
15:05Architecting Agentic AI: Building Smart Workflows with LangGraph
15:03The AI Revolution Nobody Saw Coming: How DeepSeek OCR Just Made Your Documents 10x Cheaper
14:49The Real Power of Prompt Engineering: Turning General Models into Domain Experts
14:41AI in Data Engineering (Part 9): Generative AI and the Future of Intelligent Data Pipelines
14:39How to Keep LLM Outputs Predictable Using Pydantic Validation
14:32CRM Automation with n8n and Salesforce: Building AI-Powered Customer Segments
13:43Understanding DistilBERT: The Lightweight Powerhouse of NLP
12:11A .5 Million LLM Just Beat GPT-5 and Claude: Meet Kimi K2 Thinking
12:0210 Game-Changing AI Papers Every Engineer Should Know in 2025
11:34The Claude Developer Guide Agent SDK Reference — Guides
11:26Graph RAG: The hot topic these days
11:17JavaScript and Local LLMs — Building a Chrome Extension to help me organize online notes
11:12The BRAIN behind the SMART AI — Let’s understand LLM’s & RAG
11:05RAG Is a Band-Aid on a Bullet Wound: Here’s How to Fix It
10:47LLM-Powered Phishing: A Glimpse into the Next Wave of Cybercrime
10:38How Cross-Modal Intelligence Is Rewriting the Interface
10:06Understand How Reasoning Works In LLMs(LRMs)
10:04Vector RAG & Graph RAG: A Quick Read on Where to Use What.
10:02From VM Tagging to Token Tracing: The FinOps Code for AI Cost Control
09:53388 Tickets in 6 Weeks: Context Engineering Done Right
08:44Scaling HR & Payroll Services Through Automation: A Case Study from Israel
08:40From Bit to Token — A Mechanical Analogy
08:23the AI model that solves the universe
08:12How 10 B-Parameter Models Are Outperforming 100 B Giants: The Rise of Small Language Models
08:10The LLM Journey (Part 11):Reinforcement Learning in Unverifiable Domains
08:02MCP Servers: Building Universal AI Connectors
07:57Comparative Analysis of Traditional Large Models and Large Language Models (LLMs) for Sentiment…
07:16Title: From Pitchbooks to Prompts: How AI Is Moving into Everyday Finance Work
07:13Compute-Optimal AI via Image–EVI, Interior Bures–HK Control, and Fractal Dendritic Approximation…
07:09Inside the Mind of Generative AI
06:56Why "The Matrix" is Bad Policy: Debunking AGI Fear-Mongering with Technical Limits
06:55AutoGPT Reborn: How I Built a Self-Running AI Workforce in Python (That Actually Works in 2025)
06:44The Chain-of-Agents AI: A Breakthrough in Data Science
06:44The 6× Faster LLM: A New Data Science Playbook
06:31RAG Strategies Explained: Transform Results with the Right RAG Strategy
06:20V-Thinker: When AI Stops Just Looking at Images and Starts Thinking With Them
06:16Kimi K2 Thinking Surpasses GPT-5 and Claude 4.5
05:55China’s .6M Kimi K2 Model Beats GPT-5, Here’s Why It Matters
05:31What Happens When AI Models Start Training on AI-Generated Data?
05:21Building an Agentic RAG System with LangGraph — Step-by-Step and Simplified
05:20Meta-Prompting: Scaling Prompt Engineering with LLMs
05:10The Rise of AI enabled Hello World Intelligence
04:25Smore families are now suing OpenAI over ChatGPT's role in suicides
03:59From Runbooks to RAG-Tags: Our AI’s Journey to Tech-Savvy Skies
03:55AI Governance Made Simple: A Framework for Agentic and Generative AI
03:47TOON (Token-Oriented Object Notation): The New Language of Efficient AI Systems
03:28Fine-Tuning vs RAG: A Practical Guide to the 2025 AI Toolkit
03:05Efficacy of Large Language Models (LLMs) in detecting vulnerabilities in Windows Kernel Mode…
03:01Building Efficient AI Agents: Code Execution with MCP
03:01Why Your Python Functions Aren’t AI Tools Yet — And How PolyMCP Fixes It in One Line
03:01What Really Causes Hallucinations in LLMs
03:01Building the Future of AI Research Agents: Inside Tongyi DeepResearch
03:00Building Agents with LangGraph Course #7: Building a Multi-Agent System LangGraph
03:00Not Every Agentic AI Delivers ROI: How to Find What Really Drives Business Value
03:00The Complete Ko-fi Setup Guide for Content Creators in 2025
02:44Graph-Constrained Reasoning: A Practical Leap for Trustworthy, KG-Grounded LLMs
02:37Running local AI on i3 with no GPU
02:35Day 1: Understanding the AI Hierarchy
02:31How to Measure What Can’t Be Measured: Building an LLM-as-Judge Framework
02:26The Power of Contextual Datasets: Quantifying Memory Retrieval Performance
02:18AI Isn’t Magic. It’s Just New Jargon.
02:10LLM policy?
01:51How Domain-Specific LLMs and Intelligent Industrial Software Are Reshaping the Factory Floor
01:51The ChatGPT Prompts: 9 Rules That Will Make AI Work for You
01:51Claude Skills Document-Processing Deep Dive: The Technical Architecture Behind Intelligent PPT…
01:39Show HN: LLM Onestop – Access ChatGPT, Claude, Gemini, and more in one interface
00:38TOON: The New Data Format That Can Cut Your LLM Token Bills
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124