LLM News and Articles

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Saturday, 2026-03-21
23:27From Hallucinations to Categorical Machines
22:32PixelCNN: Learning the Exact Distribution of Images
22:27Your RAG System Isn’t Failing at Retrieval — It’s Failing at Selection
22:01Moving beyond manual prompting: A practical introduction to DSPy
22:00Prompt Caching: The LLM Feature That Cuts Your AI Bill by 90%
21:41Agentic AI: When AI Stops Answering and Starts Getting Things Done
21:39A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research
21:32OpenClaw's ChatGPT moment sparks concern that AI models are becoming commodities
21:13Using a Coding Agent the Efficient Way
21:02Show HN: GoldenMatch – Entity resolution with LLM scoring, 97% F1, no Spark
20:35Science and AI: In Stats We Trust
20:31The Road to Attention Part 2
20:29All Data and AI Weekly #234–23 March 2026
20:29The Attention Revolution: A Deep Dive into the 10 Architectures Powering Modern LLMs
20:21RNNs Explained: How Neural Networks First Tried to Carry Meaning Forward
19:59The Brain Trick Behind the World’s Best AI Models
19:53I Ignored 40+ OpenFang Alternatives Until ZeroClaw
19:27Show HN: I ran a language model on a PS2
19:22Unstructured Data, WhatsApp Voice Notes, and the Reality AI Agents Aren’t Built For in Latin…
19:18MiniMax M2.7 — The Loop of Progress
19:13Agentic RAG
19:10How to Fix Catastrophic Forgetting in Automatic Prompt Optimization
19:08LMStudio lms logging
19:05AI Hype vs. Reality: Are We Reliving the Dot-Com Era?
19:04AI Agents vs Traditional Pipelines: What’s the Real Difference?
19:01Nemotron 3: NVIDIA’s Latest LLM in Plain English
19:00Laboratório de IA a Custo Zero: Sistemas Multiagentes Locais com CrewAI e Ollama
18:56RAG 101: Mastering Document Indexing and Single-Stage Retrieval Architecture
18:56Deploying Gen AI on Databricks using Batch Inference
18:12The Missing Layer in LLM Chat Interfaces: A Sub-Session Protocol
16:36How to “Pray”
16:35OpenClaw; Explained Simply
16:33chatgpt sistem tasarımı
16:31Claude Code Skills Are Not Markdown Files. They Are Programmable Context.
16:26From AI-generated to production-ready
16:13Are All AI Models Secretly Speaking the Same Language?
16:13Llm.txt como un archivo optimiza su sitio web para la I.A
16:02Perfect match: Local LLM & MCP Tool calling
16:01The Off-the-Grid Guide to Multi-GPU AI: Speed, Memory, and Safety Explained
15:49Show HN: A deterministic middleware to compress LLM prompts by 50-80%
15:43Vector RAG Is Dead. PageIndex Just Proved It.
15:41Mamba-3: The Quiet Revolution Growing in the Shadow of Transformers
15:21I Built a RAG Pipeline That Reads 200-Page Mortgage Files in 4 Seconds — Here’s Everything I…
15:19Moving Beyond Text: Introducing Gemini Embedding 2
15:16AI-Powered Dart Model Generation in Flutter (Without build_runner)
15:15Build Your Own News Feed With a Local LLM, RSS, and Zero Budget
15:09Understanding AI Model Size (Without the Technical Jargon)
15:06From RAG Theory to Production: What Azure AI Search Teaches You About Real Systems
14:48You Wouldn’t Hire a Senior Engineer to Check Disk Space
14:47Los LLMs no te entienden
14:31A Portrait of the Artist as an LLM
14:29Using local LLM and Ghidra to analyze malware
14:20My First AI Project: Building an Article Generator with OpenRouter
14:02UK government yet to trial OpenAI tech months after signing partnership
13:52Chunking: How documents are split for RAG systems
13:28What is the difference between MLOps, LLMOps, and AgentOps?
13:22Fine-Tuning LLMs in Practice: LoRA vs QLoRA vs API Fine-Tuning (Azure/OpenAI)
12:52The Dreamers: How World Models are Changing The Game
12:37Sentience in AI: Why We’re Testing for the Wrong Things in 2026
12:13Why the question “Which AI tool should I use?” is asked the wrong way
12:11AI Letter #08: Many Agents, One Goal (Planning & Multi-Agent Systems), Part- 3
12:011% Improvement to Personal AI Workflow: Skills
11:51Beyond ReAct: I Built a Tree Search Agent for smolagents
11:4703 | Roadmap to AI Engineer
11:33Mastering NLP From Foundations to Agents — Second Edition, the Qlib Project | Issue 80
11:18How I stopped LLMs from hallucinating Selenium code — using RAG
11:07Introducing Compiled Capital
10:37A software engineer’s guide to why LLMs hallucinate and how to mitigate
10:34The Chunk That Broke My RAG Pipeline
10:21The Human Owns the Loop
10:02MetaClaw: Your AI Agent Is Static. This Framework Makes It Self-Evolve While You Sleep
08:42From Words to Wisdom: The Hidden Math Inside Every Response from AI Tools
08:16LLMs Brewing Notes: On Distillation, Dissonance, and Design
07:58Your MCP Sucks. Here’s How to Fix It.
07:49Stop Caching Everything: Why Your Transformer is 98% Bloat
07:41Large Language Moralising: Slop allegations and AI snobbery
07:28RAG Is Broken — Vercel Ditched Vector Databases and Built a Knowledge Agent With grep Instead
07:23PageIndex: The Next-Generation Vectorless, Reasoning-Based RAG
07:119 tests that catch prompt injection without breaking UX
07:01S02E03 — Makeup, Not Surgery — Supervised Fine-Tuning
06:595 New Cursor Slash Commands That Are Changing How I Code
06:53How I Trained My First LLM Locally on a MacBook Air
06:43Forget APIs for AI Agents. Meet MCP.
06:35Scaling AI Discoverability Across International Markets: Beyond Translation to Neural Logic
06:21“Mamba: The Linear-Time Alternative to Transformers That’s Changing LLM Architecture”
06:13Ask ChatGPT to pick a number from 1-10000, it generally selects from 7200-7500
04:45Large Language Models Explained: How AI Tools Like ChatGPT, Gemini Actually Work
04:34I did a RAG system from Scratch using Python
04:31When One Field Drift Breaks the Agent
04:31Agent Routing Rules That Stop Tool Thrashing
04:31You’re Only Using Half of Claude AI — Here Are 10 Features You’re Missing
04:31RAG Retrieval: Relevant Docs, Wrong Answers
04:31Multitool Agents Break Quietly
04:31When One Tool Field Breaks the Agent
04:31RLHF Updates That Break Your Eval Story
04:31One Field Off, and the Agent Lies
04:29Thanks Google AppFunctions And Apple: OpenClaw is Extinct Already
04:13From Manual Checking to Full Automation in Under 150 Lines of Code
03:36What a Real AI Agent Actually Looks Like
03:35Stop Wasting 3 Days Refactoring AI Code
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