LLM News and Articles

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Sunday, 2025-09-28
06:58Day(9/100) Search-R1: How GRPO Trains LLMs to Search and Reason
06:21Top 10 Local LLMs (2025): Context Windows, VRAM Targets, and Licenses Compared
06:18Post-Training Large Language Models
06:07Why Task-Based Evaluations Matter
06:0020 AI Concepts Every Beginner Should Know.
05:40My Journey to Build an AI Meeting Summarizer
05:37Tech Behind MegaLLMs #2: A Simple Guide to the Attention Mechanism
05:32“Next-Gen Smart DB Query Builder: Robust, Accurate, and Typo-Free with Multi-Condition Handling”
05:32The rise of large language models
04:49Do people really make fun of accents? I’m feeling self-conscious after a presentation.
04:25The Truth About Multi-Agent Debate: Majority Voting Is the Key
04:25Query Spelling Correction Overview
04:25Tencent Hunyuan Open-Sources HunyuanImage 3.0: An 80-Billion-Parameter Text-to-Image Model
03:57Putting ChatGPT on the Couch
03:31Adaptive Model Routing, Low Latency
03:31Meta’s AI Reasoning Revolution: Teaching Models to ‘Remember How to Think’
03:21From Chaos to Control: The Architecture of a Scalable AI Agent Framework built using LangGraph
03:18Cloud vs. Local GPU for LLMs
03:07DeepEval: A Simple Way to Test and Evaluate Your LLM Applications
02:44When Silicon Valley Elites Start Researching ‘How Not to Work’
02:44Multi-Agent Large Models: Is Voting More Effective Than Debate?
02:31Fine-Tuning Without Regret
02:17Claude Prompt Trees: My Secret to Contextual Depth
02:04Can you make your Agents to remember things? — State machines for rescue.
02:01Notes, Thoughts, & Synthesis: Your Brain on ChatGPT
01:55Demystifying LangChain, LangGraph, LangSmith & LangFlow: Choosing the Right LLM Tool in 2025
01:31Invoice Extraction — Evaluation — Part 5
01:24️ Why LLMs Need MCP: From Smart Text to Real Assistants
Saturday, 2025-09-27
23:46From RNNs to Attention: Teaching AI to Remember and Focus
23:19LLM reading
22:07AI Challenge #1: Teaching an LLM to Play Chess (Part I)
21:59Comparing Chunking Strategies for RAG: From Naive Splits to Striding Windows
21:21Beyond Checkboxes: Using Large Language Models to Discover Hidden Insights in Open-Text Surveys
21:20QualiAI- Automating Data Validation with LLM
21:15Hands-On LLM Alignment: Coding GRPO from Scratch, Step by Step
21:14Speed vs. Thought: Why o3’s Slower Answers Felt Smarter than Gemini 2.5 Pro
21:06Shrinking AI: How Quantization Makes Neural Networks Faster and Leaner
20:26Pydantic AI — The Secret Weapon for Smarter Python Agents
19:42Jailbreak Arena Part 3: Tools, Agents, and Evaluation — Building LLMs that can act and judge
19:31Using LLMs in Trading
19:10Living the Transition: Memory, Movement, and the Model We Need
18:59The AI Wake-Up Call We All Need: OpenAI Discovers AI Models Can Deliberately Deceive Users
18:57Understanding Multimodal LLMs: The Next Evolution of AI
18:56LLM Observability in the Wild – Why OpenTelemetry Should Be the Standard
18:34Série 16 Técnicas de RAG — Parte 1
18:30Bellekteki Hafiflik: Quantization Nedir ve Bize Ne Kazandırır?
18:27A Dual Perspective — Prompting in Large Language Models
18:13MCP Fundamentals: A Beginner’s Guide to the Future of AI Integration
18:01Context Engineering for LLMs: Build Reliable, Production-Ready RAG Systems
17:51Master Guide to LLM Prompting Techniques: From Zero-Shot to Advanced Chain-of-Thought
17:17The Future of AI Is Small, Specialized, and Efficient
16:51What Are Guardrails for LLMs?
16:44Show HN: Llumen – Lightweight LLM chat app that runs in <1s with OpenRouter
16:32MCP OAuth Sample with Expense Analysis — How it works (walking through the code)
16:20RAG is Hard Until I Know these 12 Techniques → RAG Pipeline to 99% Accuracy
16:04Gen-Z-AI: How Generative AI is Reshaping the Future of an Entire Generation
15:57Federation of Agents: How Multi-Agent Systems Learn to Work Together
15:49Improving our Hacking Agent
15:31Enhancing AI Accuracy
15:10From Raw Model to Helpful Assistant: The Role of Post-Training in AI
15:05Understanding MCP Servers: List of Tested MCP Servers for Enhanced AI Workflows
15:05MetaMind: When AI Starts Reading Minds
15:05Ten Counterintuitive Principles of Agent Design
15:04Attention Isn’t All Your Need: The Harmony Between Architecture and Data
14:57Avi Schiffmann: The Man Who Consciously Invested Millions in His Own Failure
14:55Whisper’s Weekend Reading
14:32What Are Large Language Models ? A Retail Guide with Google Colab exmaple
14:32An Intro to Gated Connections in LLMs
14:27When the Benchmark is Broken: Handling Errors in Evaluation Datasets
13:14Alibaba’s Qwen3 AI Isn’t What You Think: 5 Surprising Facts
11:21Building a ChatGPT clone in minutes with Semantic Kernel and Ollama
11:12Make Your PDFs “LLM-Ready”: A Practical Playbook for Regulators Who Can’t Change Their Website…
10:54Anthropic to triple international workforce in global AI push
10:49The Horrors Persist (But So Do I)
10:02I Built a Private Claude with Open-Source LLMs
09:56Comparing AI-Generated Web Design: Commercial Tools (V0, Bolt) vs.
09:37From Streamlit Demo to Production CRM Intelligence: My Journey Building AI-Powered Conversation…
09:32Fine-Tuning BERT Like a Pro: The Art of Freezing Layers
09:26The Mirage of AGI: Why LLMs Aren’t Enough
09:26The Mirage of AGI: Why LLMs Aren’t Enough
08:57The Boardroom of a Broken Soul: A Experiment
08:28From Prompt To Payload: Lamehug’s Llm-driven Cyber Intrusion
08:25On-Device AI in Android: The Future of Smart & Private Mobile Apps
08:25OpenAI Needs a Trillion Dollars in the Next Four Years
07:44Artificial Emotion Generation and Instinctive Behavior Patterns Test Report for LLM
07:42Google Gemini Robotics: Revolutionizing AI-Driven Physical Agents
07:33AI Output
07:29Unveiling Meta’s Code World Model: How Execution-Grounded AI is Transforming Code Understanding
07:18Zero to GenAI Hero: The Complete Roadmap for ML & AI Engineers (2025) Part 2
07:05Ring-flash-linear-2.0: A Hybrid Attention Architecture for Inference Acceleration
07:05Tencent Hunyuan Lab just dropped a bombshell: Hunyuan3D-Part.
06:56The Complete Guide to Using Data Science Pro: From Zero to AI-Powered ML Pipeline
06:46LLM Observability with OpenTelemetry: A Practical Guide
06:26Day(8/100) Policy Gradient Theorem Derived Easily
05:46Demystifying AI Workflows, AI Agents, and Agentic-AI: A Hands-On Explainer without the Technical…
05:41Step-Back Prompting: Smarter Query Rewriting for Higher-Accuracy RAG
05:37One Hub, Infinite Agents: Why 9xchat Is the Workspace of the Future
05:18Scortex AI | LLM architecture that generates artificial emotions and instinctive behavior
05:04Meet Qwen3Guard: The Qwen3-based Multilingual Safety Guardrail Models Built for Global, Real-Time AI Safety
04:14Building PolyglotGPT — Multilingual AI for Learning Languages
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124