LLM News and Articles

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Sunday, 2025-10-19
22:28Agents’ Biggest Enemy in Production: Prompt Sensitivity
21:56Building an Open-Source AI Knowledge Hub: A 12-Step Journey into AI Excellence
21:51Curious news du 19 octobre 2025
21:50NVIDIA’s New AI Paper Reveals a 4-Bit Future — Here Are the 4 Biggest Takeaways
21:32AI as a reflection of our values
21:02Training LLMs with 1-Bit Weights: From Theory to Reality
20:41Vibe learning instead of Vibe coding?
20:38The Voice Box: Reimagining AGI Through the Lens of Human Attention
20:15Inferential Memory as an Emergent Relational Phenomenon in LLM–Human Interaction
20:12The Unix Philosophy Meets AI: Building Composable LLM Tools with MCP
20:07AI for CI/CD: Agentic Pipeline Analyzer for Instant Root-Cause & Auto-Remediation
20:01How to Analyze and Optimize Your LLMs in 3 Steps
19:42Beyond the Chat Window: The M+N Open Standard That Connects LLMs to the Real World
19:35LLMs and AI Agents Are Transforming Data Engineering Workflows: Here’s How to Leverage Them in 2025
19:04Escape the Tutorial Hell and Start Building
18:54Claude on Karparthy and Dwarkesh
18:15Semantic Fidelity Lab
18:13Learning and Building GenAI Applications with LangChain (Part 2)
18:13How LLMs Are Transforming Cybersecurity
18:05AI Agents of the Week
18:03From Infinite Inference to Semantic Substrates: A Practical Path to Lower-Energy, Lower-Cost AI
18:02The Evolution of Large Language Models (LLMs): A Journey of Innovation
18:01The 0 Code That Shook the AI Gods: Inside Karpathy’s Nanochat Revolution
17:56Context Engineering vs. Prompt Engineering: A Paradigm Shift
17:55Agentic AI: What You Should Really Care About When Building Autonomous Agents
17:38Stop Building the Same Integration Over and Over: Introducing the Model Context Protocol
17:32Vibecoding the “European Nightmare”
17:01How to Choose the Right Framework for Building Generative AI Workflows
16:45The AI Confusion Everyone Has: GenAI vs LLM vs Prompting (And Why It Actually Matters)
16:38RAG: Bilgi Yönetim Sistemi Mimarinizin Yeni Nesil Arayüzü
16:37Living Systems: How Feedback Loops Are Making AI Smarter in Banking
16:36YT Transcripts
16:35AI Is Eating Wikipedia (the Entity That Fed It)
16:33Agentic AI: Redefining Leadership in the Age of Autonomous Decision-Making
16:31Doing well in your courses: a guide by Andrej Karpathy
16:13Docling: Simplifying Document Parsing and AI-Ready Data Processing
16:09Powerful Microsoft Agent Framework: Build, Orchestrate and Deploy AI Agents with Python and .NET
16:05Six People, 1020 Billion Parameters: How the Protein Language Model Odyssey Achieved This
16:04LLM’lerde Halüsinasyon Kavramı
16:04The Economic Architecture of Open-Source LLM Deployment: A Strategic Framework
16:02When Your Doctor’s AI Assistant Might Be More Biased Than You Think
15:50Building a clinical intake assistant using LangGraph
15:29The Hidden Danger of Chatbots that Always Agree With You
15:23Building Your First AI Agent with LangChain: A Complete Practical Guide
15:21A Programmer’s First Attempt at Building with AI
15:02Are You Lost Trying to Debug Your AI Agents in Production?
14:53Is In-Context Learning Really Learning? From a Space sector perspective
14:41A Simple Way to Explore Codebases with LLMs
14:41A Simple Way to Explore Codebases with LLMs
14:39Default to Local: Why AI Should Run on Edge by Design, Not as an Afterthought
14:20How to Automate Your Routines for Free Using Local LLMs
14:17Semantic Cache: How to Speed Up LLM and RAG Applications
14:15Stop Guessing Your GPU Memory: Meet the Best VRAM Calculator for AI Models
14:01Adding Empathy to Agentic AI
13:55Retrieval-Augmented Generation: Building a Verifiable Question-Answering System with the CIA…
13:53Retrieval-Augmented Generation: CIA Factbook ile Doğrulanabilir Soru-Cevap Sistemi
13:33When should Safety Guardrails Appear in the AI system pipeline?
12:29Image search using open source image embedding model.
12:22How Does ChatGPT Actually Work? Explained in Plain English
12:22What Is Generative AI? A Simple Guide for Non-Techies
12:19Anthropic's Jack Clark is drawing White House ire
12:03Training Your Own ChatGPT on Google Collab
12:01What I’ve been reading this week ending 19 October 2025
11:59The Interconnected Evolution: The Intelligent Continuum: Exploring AI, ML, GenAI, LLMs, and Agentic…
11:30OpenAI researcher announced GPT-5 math breakthrough that never happened
11:25From “Hello, World!” to Python Master — A Journey You Can Start Today…
11:17Choosing the Right LLM: Your Guide to Picking the Perfect AI Brain
11:10Part 2 — From Code to Conversation: Designing the Gradio Interface for a Tangible AI Experience
10:59The Best University Courses to Learn AI in 2025
10:43Specification-Driven Development in the AI Era: Writing Code with Markdown
10:40AI in the Cloud for Engineers: Let’s Build with .NET & LLMs!
10:06# Building a Local AI App with Spring Boot and Ollama Using WebClient
09:55Trapped in “Today”: The Story of H.M. and Its Curious Connection to AI
09:36Generative AI Unveiled: Navigating Between Facts and Fiction
09:25Claude Haiku 4.5: The Small Model That Eats Latency For Breakfast
08:56Inference in Normal Form — Bridging LLM Tricks and Deep Structure
08:45Chapter 2.2 — Causal Attention: Why GPT Doesn’t Peek Ahead
08:30The Cognitive Debt of offloading software development to AI
08:04Bir Modelin Dil Öğrenme Süreci Tokenizer ile Başlar
08:01Agentic Context Engineering (ACE): Fine Tune or allow LLMs to build their own playbooks?
07:49Recursive Language Models (RLMs)
07:34Why are Graphic Cards more suitable for LLM models than CPUs?
07:32The Agentic Imperative: Gemini 2.5 Flash in Advanced Multi-Agent Systems
07:09Why “Move Fast” Is Still may be a great strategy that works?
07:05The AI We Love vs. The AI We Use: Character-Driven Innovation in AI Agent Technology
06:56Build an “Analytics GPT” (MyGPT on ChatGPT) that talks to Redshift and Slack
06:48Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs
06:37Perplexity, Your reliable research Assistant
06:33How AI Agents Think, Plan, and Act ? Let’s Build One with LangChain
06:33Building an LLM from Scratch — How Transformers Learn, Think, and Generate
05:49Paris: The First Decentralised Diffusion Model That Doesn’t Need a Supercomputer
05:39Microsoft AI Proposes BitNet Distillation (BitDistill): A Lightweight Pipeline that Delivers up to 10x Memory Savings and about 2.65x CPU Speedup
04:07Agentic Context Engineering: A Formal Step Toward Self-Improving Language Model Cognition
03:33Exploring K(I)V(I) quantization in LLMs
03:01How to Use Qwen 3 Coder in Cursor: A Complete Guide
02:52How LLMs internally works?
02:29The 7 Secret Knobs That Control Every AI Response
02:07Claude Skills, The Operating System for AI Agents
01:33Part 2 — No-Meta Intelligence: From External Control to Intrinsic Purpose
01:23From LLMs to Agentic AI: Understanding the Evolution of Intelligent Workflows in 2025
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124