LLM News and Articles

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Monday, 2025-10-27
04:44The Truth About Large Language Models No One Wants to Admit
04:36Benchmarking Nanochat vs GPT-2: What a 0 LLM Can (and Can’t) Do
04:15MCP vs API: The Evolution That’s Changing How Machines Really Communicate
03:40MetaEvaluator: Systematically Evaluate Your LLM Judges
03:33Why Your LLM Finetuning Fails: A Data Science Investigation
03:31Why Bigger Isn’t Better: A Data Science Guide to LLM Robustness
03:29Less Is More: How a 7M-Parameter AI Outsmarted Models 10,000× Bigger
03:07AI, Explained Simply: 15 Core Concepts You Must Understand
02:51A practical guide to explainable AI agents (XAI)
02:14How to Connect an LLM in Go (for Everyone)
00:59Beginner’s MLL Rewards Guide — October 2025
00:08Maximize MLL Rewards & Points — October 2025
00:06From Customer Complaint to Ticket using LangChain and Pydantic
00:05Don’t Haste to Train Models, Your AI Might Be Smarter Than You Think
00:00Building LLMEvalGraph
Sunday, 2025-10-26
23:56Optimizing LLM Inference
23:47From Philosophy to Protocol: A Narrative Guide to the JOSNL 42-Paper Corpus for Benevolent…
23:34Master Prompt Engineering: 10 Patterns to Transform AI Output
23:30What Is A/B Testing? A Simple Guide for Beginners
23:23Meet ‘kvcached’: A Machine Learning Library to Enable Virtualized, Elastic KV Cache for LLM Serving on Shared GPUs
23:12Beyond Faster Machines: Engineering for Happiness, Not Just Performance
23:06Can you break your LLM’s sense of Cause & Effect?
23:05When AI Starts Eating Its Own Thoughts
22:23You Have No Idea How Screwed OpenAI Is
22:20DSPy is slow. Here’s how to make it fast.
22:13Building a UAP Knowledge Base: Week 4 — Deployment & Real Users
21:49Prompt Design Language
21:165 Common LLM Parameters Explained with Examples
21:03Toward Self-Improving, No-Meta Intelligence: A Scientific Bridge Between the…
20:59LLM Pentesting Series (01/12) Foundation of LLM Pentesting Part 1
20:26Proyecto: Agente Investigador de Papers Científicos
19:57Agentic Context Engineering: A Complete Guide to Stanford’s Self-Learning Agent Framework
19:29AI-Powered Validation in .NET: Introducing LLMValidator with Microsoft.Extensions.AI
19:22Mastering Model Serving Frameworks: vLLM, Triton, Ollama, Ray Serve & Beyond
19:06Is AI Replacing Truth With Consensus?
18:32Does Your Agent Need an Agent?
18:25Soulcraft: The Alchemical Art of Post-Traumatic Growth
18:14Why I’m Building an AI No One Can Shut Down — and Why It Needs to Feel
18:12Why Your RAG System Hallucinations Start at Ingestion, Not the LLM
18:12From Data Silos to In-House LLMs: How Organizations Can Harness Reinforcement Learning for Next-Gen…
18:01Before You Build AI, Read This: The 10 Papers That Built It.
17:58Getting Started with LLaMA: Prompt injection mitigation
17:49How I Use LLMs to Code and Why You Should Treat Them Like Junior Developers
17:21The LLM Writes, You Steer: How to Work Without Self-Deception. Part 2.
17:19Self-Reflective Retrieval-Augmented Generation (Self-RAG) Mimarisi
17:13How do Rotations Shape the Way Large Language Models Understand Meaning?
17:04How to Supercharge Cypress with AI: From Self-Healing Selectors to Smart Assertions
16:55Building Your Own Agentic Context Engineering (ACE) System: A Practical Tutorial
16:38Langfuse 101: Observing Your LLM App Made Simple
16:20The 40% AI Replaced Lie: What’s Really Draining Talent from AWS
16:18Planned Diffusion: When a Language Model Finally Learns to Think Before It Speaks
16:04ollama pull — Next-Level: Update Every Model Safely (with Pretty Output, Skips, and Error Handling)
15:46How Good Is Your Web Search? Comparing Three Approaches for LLM Agents
15:46How Good Is Your Web Search? Comparing Three Approaches for LLM Agents
15:40When Global Knowledge Isn’t Enough — Why Local Data Drives AI Success in the Plant
15:15When LLMs Get Creative with Field Names: Automatic JSON Typo Repair
15:06AI Inference Part 2: Advanced Deployment and 75% Cost Reduction
15:00Types of AI Models: A Comprehensive Guide to Architectures and Use Cases in 2025
14:58Mastering LangChain Deep Agent: How to Build Autonomous Multi-Step AI Systems(Part-2)
14:29The Latest Tools, Models, and Agents Now in the Ainsider Store Directory
14:22Mastering LangChain Deep Agent: How to Build Autonomous Multi-Step AI Systems(Part-)
14:19AI and Hanumanji: The Power Lies in the One Who Commands
14:12Building AI Agents: Learning the Fundamentals Beyond API Calls
13:51AI Agent of the Week: Papers You Should Know About
13:12Your Next Code Reviewer Is an AI Agent (And You Can Build It in 7 Steps)
12:31Coding with LLMs Isn’t Chatting: Why Prompt Patterns Matter (Top 4 Types Explained) Part 1/2
12:31No Code Required: How I Built a Fully Automated Research Agent in 1 Hour Using Make.com
12:27Grieving the Free Love Era of AI
12:03THE POWER OF GRAPHS and why LangGraph sits right on top of it
11:52Building an Agent as a Small, Safe Graph using LangGraph & NestJs
11:33Talking to Kubernetes: Managing Clusters with Natural Language
11:207 Principles for 10x Better Conversations with LLMs
11:02Data Quality and LLM Hallucinations — Why Language Models ‘Make Things Up’
10:36ARG (Active Self-Reflection KG-RAG): How LLMs Retrieve, Reflect, and Reason on Knowledge Graphs
10:32Reinforcement Learning from Human Feedback (RLHF)
09:53Show HN: Create-LLM – Train your own LLM in 60 seconds
09:32New Way to Build SEO Articles Using Smart Prompts
09:25Is ChatGPT Making You Dumb? The Truth Behind AI
09:05How Language Models Read Text — The Art of Tokenization
08:38OpenAI Cofounder Brutal take on LLMs, Agents and Why AGI is Still Decade Away
08:29Three months ago, I wanted to train my own LLM.
08:28NVIDIA DGX Spark vs Mac Studio vs RTX-4080: Ollama Performance Comparison
08:19Building a Local AI-Powered PDF Chat App with Ollama, LangChain, FAISS & Streamlit
08:19Don’t Leave AI to the Engineers
08:19Who Owns AI Output?
07:59Creating Visual Novels with Gemini AI Agents
07:44The Illusion of Memory: Why LLMs Don’t Actually Remember Your Conversations
07:40Preparing for Red Hat OpenShift AI 3.0: Understanding Key Deprecations and Migration Paths
07:36Can You Really Trust AI? The Truth Behind Its Beautiful Lies.
07:02Evals
06:39Tool Calling using LLM
06:1314 AI-Powered Low-Code Platforms on GitHub Worth Watching
06:04Cost for LLM plans
05:43LLMs Explained: The AI Superpower That’s Quietly Reshaping the World of Technology
05:42Reasoning models don’t always say what they think
04:55Reflective Meta-Prompting: A Conversational Alternative to Verbalized Sampling
04:2310 Underground AI/ML Tools That Actually 100x Developer Productivity
04:22Code Like a Head Chef: Collaborating with Your AI Sous-Chef
03:44When AI Learns Not to Regret: What Poker Taught Me About Human Bias
03:42The Difference Between AI Assistants and AI Agents (And Why It Matters)
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124