LLM News and Articles

163 of 100
Tuesday, 2026-02-03
17:09Are LLM failures – including hallucination – structurally unavoidable? (RCC)
17:01LiteLLM: A Unified LLM API Gateway for Enterprise AI
16:42Tutorial: Building a Human-Aware Code Assistant with Agent Spec (Part 2)
16:38From MLOps to LLM Ops: A Guide to Production-Ready AI with MLflow 3.0
16:32Apple and Google team up: the future of mobile AI
16:22Beyond AI Agent Tools with LLM Sandbox
16:16MONGODB NEDİR?
16:01I Started Using LangGraph — and It Changed How I Build AI Workflows
16:00The NeMo Manifesto: Engineering the Agentic Era
15:53The Evolution of Transformers: A Journey from Linear Attention to Higher-Order Attention
15:48Anthropic is Down
15:47Knowledge Graphs Reveal the Hidden Architecture of Great Literature
15:40Making LLMs Faster: Using LDA to Organize Data for RAG
15:39OpenAI's ChatGPT push triggers senior staff exits
15:33TAI #190: Genie 3 World Model Goes Public
15:31Observability for AI Products: Systems That Think, not just Run!
15:31Is Your GPU Code Compute-Bound or Communication-Bound?
15:30Kimi K2.5 Agent Swarm: Spread Complex Jobs Across 100 Agents, Attack Tasks in Packs
15:16How to Build a Document Upload + Answer Engine Without a Vector DB Powered by PageIndex
15:12Algorithmic Colonialism Through Automated Content Moderation Models in the Global South
15:03The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+
14:59Show HN: LUML – an open source (Apache 2.0) MLOps/LLMOps platform
14:57Feedback Intelligence Is Joining ActiveCampaign
14:45Revisiting ChatGPT's financial advice, 15 months later
14:19Anthropic's Performance Take-Home: A 65x Optimization (For Dummies)
14:18AI for Luddites: 2026 Predictions
14:01Building LLM Memory from Scratch #5: Hierarchical Self-Managed Memory
13:59Anthropic, you need a shell parser
13:56OpenClaw Found What Every AI Lab Missed: Regular People Have Tasks Too
13:17Expensively Quadratic: The LLM Agent Cost Curve
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!
163 of 100
Was this helpful?
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20241124