LLM News and Articles

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Tuesday, 2026-02-03
13:09Introduction to Large Language Models (LLMs)
13:03Why Training Large Language Models Is Harder Than You Think !
12:51LangChain ile Sistem Odaklı LLM Uygulamaları
12:39Ruby Didn’t Miss the AI Party: Building Smart Apps with Langchain.rb
12:36How Ollama Stores Models
12:33What If Your Brain Was the Next AI Chip?
12:319 RAG Architectures Every AI Developer Must Master in 2025
12:13Optimizing LangGraph Agents with Agent Lightning and APO (Automatic Prompt Optimization)
11:58We’re All Just Talking to Machines Now
11:45The Ultimate GenAI Handbook — A Complete Dictionary for Techies and Managers
11:44Building a System Where AI Tunes AI: Auto-Exploring LLM Inference-Time Parameters
11:29How Large Language Models Reason vs. Memorize
11:25Training Design for Text-to-Image Models: Lessons from Ablations
11:21How to Tell If Your AI Agent Costs More Than the Team It Replaced
11:09How LLMs Choose What to Say: Data, Authority, and the Rise of Generative Engine Optimization (GEO)
11:07Can Emancipated AGI Be Strategically Underdesigned?
11:03Model Customization Part 3: Return of the Model — The Empire Strikes Production
11:00GraphRAG: Turning Your LLM into a Reasoning Powerhouse
10:38Building an Autonomous Customer Support Agent with MCP and RAG
10:29GonkaGate: Why I Think Decentralized Inference Finally Makes Sense
10:21Anatomy of an Agent (Spoiler: It’s Still Just Code)
10:18Understanding Gradient Descent and How to Know If It’s Converging
10:15The Synthetic Data Revolution: How AI is Learning to Train Itself
10:10Zero-RAG: Prune First, Retrieve When It Matters
09:47I Built a “Serverless” Semantic Cache in Python. It Cut Latency to 5ms.
08:49The Day OpenAI Broke With Nvidia (While Agents Made Perfect Decisions But Did Nothing)
08:46Kimi K2.5 Review: Testing Moonshot’s Agent Swarm and Visual Intelligence Claims
08:35The Startup’s Model Selection Playbook: How to Pick AI Models Without Burning Your Rundown
08:16The Anatomy of Modern Reasoning: Why the Transformer Still Rules in 2026
07:59Knowledge-Augmented Reasoning
07:56I Built My Own NotebookLM-Style Document Assistant with Gemma 3 (And You Can Too)
07:47The Enterprise Institution Reformation AI Is Forcing: Agent-Centric and Ontology-Centric…
07:41How to Document Large Language Model APIs: A Technical Writer’s Guide
07:40Building an AI Customer Service Agent: A Production-Ready Implementation
07:15Introducing TI Mindmap HUB: an Open Research Platform for AI-Powered Threat Intelligence
07:06The Spirits We Summon: What LLMs ‘Say’ About People
06:57GDPO: The Hidden Flaw in Multi-Reward RLHF That’s Been Sabotaging Your LLM Training
06:514 Best AI Agent Authentication platforms to consider in 2026
06:49“Stop Asking AI Dumb Questions”: Prompt Engineering 101 (So Your AI Actually Helps You)
06:21The AISU Framework (2026)
06:15# How to Run Uncensored GLM-4.7-Flash Locally with Claude Code
06:11Sam Altman felt "useless" next to Codex
06:0315 GenAI Terms You Must Know (with Code Examples)
05:51Top 10 Ways How LLM Development Companies Are Transforming Businesses in 2026
04:52Stop Hallucinations: How RAG Bridges the Gap Between LLMs and Reality
04:44The Lobsters are Loose: Why Viral AI Agents are a Business Nightmare, and How AIBJ Tech Delivers…
04:39Setting Up a Secure Docker Environment for Ollama
04:34Safe and Secure Use of Ollama — Best Practices Based on Global Cybersecurity Vulnerabilities…
04:19When Models Commoditize
04:19Deterministic Prompting is the Aspiration
04:09Ace your Machine Learning Interview: 400 Practice Questions
03:37Just 4 days to go!
03:32Reducing LLM Hallucinations with Knowledge Graphs and Coarse-to-Fine Highlighting
03:28Observation Capture: When Mediated Sensors Can’t Expand an Agent’s Power (and When They Can)
03:14What is Agentic AI?
02:53The Great Agent Optimization Race: From Theory to Reality
02:33NVIDIA’s Nemotron 3 Nano NVFP4 delivers 4× throughput with 99.4% BF16 accuracy.
01:47What Oracle Has to Lose from OpenAI and Nvidia's Rocky Relationship
01:29Revisiting “Profession” in the Latest Age of AI
01:27kimi k2.5
01:24Kimi K2.5: From Agent Swarms to Production Pipelines
01:17How LLM agents rewired my entire coding workflow
00:38The Model Selection Trap: Choosing the Right LLM for Agentic Systems (2026)
00:37The Tool Execution Gap: Why Your Agents Make Perfect Decisions But Nothing Gets Done
00:32What are LLMs
00:26How to Connect Your APIs to LLMs: A Deep Dive into Model Context Protocol (MCP)
00:14Primera llamada a la API de Claude en Python: guía paso a paso (parte #4)
00:01From Chaos to Intelligence: How AI Training Actually Works
00:01How I Built pdf-mcp: Solving Claude’s Large PDF Limitations with MCP
Monday, 2026-02-02
23:52…And This Is The Truth!
23:40Measuring and Interpreting Token Usage in LLMs
23:36Step 3.5 Flash LLM model, agentic coding ~18x faster than GLM 4.7 / Kimi K2.5
23:12Jailbreaking an AI Teaches You More About Humans Than Machines
23:10Building AI Tools Users Can Trust: Our Approach to Security, Traceability, and Control
22:43Delta – Cut LLM inference costs 30-60% with lossless compression
22:37We Are Letting AI Companies Shape Our Kids’ Morality, Culture, and Perception
22:37One of the best VLA models — Qwen 3VL :D
22:25Direct To Client Protocol With Google’s “Snow Bunny” Model For Freelancers
22:20The Complete Guide to Large Language Models: From Architecture to Production
21:47Losing Our Humanity to AI
21:41KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
21:31OpenAI is unsatisfied with some Nvidia chips and looking for alternatives
21:24How AI Companions Mirror Their Users in Real Time
20:55Anthropic partners with Allen Institute and HHMI for life sciences research
20:33Validating the Quality of LLM-Generated Solutions in Production Systems
20:25Nvidia shares are down after report that its OpenAI investment stalled
20:02Manifesting the Signal
20:01Building LLMs from Scratch: 7 Essential Types & Complete Implementation Guide
20:00Multi-Agent Systems Demystified: How to Pick the Right Architecture and Framework for Your Task
19:49We’ve Already Achieved AGI — Here’s Why the Tech World Won’t Admit It
19:46LLMs as Data Validators, Not Creators
19:44AI Agents, Source Context, and Prompt History: A New Software Developmenst Paradigm
19:42Anthropic's plan to scan and dispose of books
19:39From Multi-Agent Chaos to a Single Execution Path
19:3810 AI Skills You Must Master Before 2026 (If You Don’t Want to Be Left Behind)
19:07Power Aware Dynamic Reallocation for Inference
18:39Why we need to divide by √d in attention
18:34MCP com FastMCP em Produção: Guia Completo com Docker, API Gateway e LangChain/LangGraph
18:017 Essential Types of LLM Benchmarking Every AI Developer Must Know
17:54Agent Lightning: Democratising Reinforcement Learning for AI Agents
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124