LLM News and Articles

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Sunday, 2025-10-19
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
01:02Dynamic AI Agents Orchestration: A New Paradigm — Part 3
00:56Building Production LLM Infrastructure with KServe v0.15
00:10Using LLM Locally on Mobile (Easily)
00:05Real Experience on Tokyo Streets: Why Shared Bikes Don’t Take Off in Japan
Saturday, 2025-10-18
23:59The art of prompt engineering
23:02Beyond Imitation: How Agents Can Learn From Their Own ‘Early Experience’
22:34Azure AI Agent Service
22:33Beyond Trial and Error: How Reasoning Models Transform Prompt Development
22:19The Prompt Engineer’s Playbook: A Test-Driven Framework for Production-Ready AI
22:11RAG Explained: How LLMs Actually Learns Beyond Its Training Data
21:46CLIP — Learning transferable visual models from natural language supervision
21:21The Design Space of LLM-Based AI Coding Assistants [pdf]
21:18Codebase Analyzer with Semantic Kernel — Part 8
21:18Codebase Analyzer with Semantic Kernel — Part 7
20:34Andrej Karpathy on X: "My pleasure to come on Dwarkesh
20:16How to Trust Your Data Without Manual Checks
20:05The Decade-Long March of AI Agents: Karpathy’s Caution and Truth
19:36What Sora 2 Says About the AI Bubble?
19:17Outsourcing Morality
19:15LLM Poisoning: The Hidden Threat That Takes Just 250 Documents to Compromise Any AI Model
18:51Kendi AI Ajanınızın Beynini Kodlamak: LangGraph ve Gemini ile Otonom Karar Alma
18:216 Core LLM Architectures Explained: The Foundation of AI Innovation in 2025
18:02More Ethics for More LLMs: What It Really Takes to Build Responsible AI
17:24Supermemory: The Missing Link Between AI and Human Intelligence
17:02Reward Hacking in LLMs
16:49Stop Burning Money on AI: The Math Behind Smart Automation
16:21AI Model rate Vs Men Hour rate
16:19Meta-Cognition in AI: Enhancing Decision-Making with Symbolic Reasoning and Expert Knowledge
16:05Baidu Released a 0.9B Parameter Little Monster, Outperforming GPT-4o and Gemini 2.5
16:01Building Smart AI Agents for Legal Tech: A Practitioner’s Playbook
15:59Claude Skills Explained
15:58Statistical Language Modeling Explained for Beginners
15:49Chapter 2.1 — Self-Attention Explained
15:40Anthropic Just Launched Their First ‘Cheap’ Model In Over A Year
15:36Going from Large Language Model to Chatbot
15:33Stanford Just Solved One of AI’s Biggest Mysteries: Why ChatGPT Keeps Repeating Itself
15:24The Next Billion Dollar Opportunity: Fixing AI Hallucinations
15:20Review — Is Educative a Good Place to Learn AI and LLM Engineering?
15:13LLM Poisoning: The Invisible Vulnerability That 250 Documents Exposed
15:124 Hours, 0, One Script: The Nanochat Blueprint
15:11How to Fine-Tune LLMs Locally: The Complete LoRA Guide
14:42Microsoft's Biggest Bet on Agents... Yet
14:32Attention! — AI, Weil & Heidegger
14:30Understanding LoRA: Fine-Tuning Large Models Without Breaking the GPU
14:18Inside nanochat Part 2: Understanding Architecture
14:07ADK 1.15 Brings Google Maps Grounding — and It’s a Game-Changer for AI Agents
13:57SwiftTransformer: A New LLM Transformer Design
13:44A Human Like Committee Reasoning
13:16The Silent Threat: Why a Tiny Drop of Poison Could Bring Down the Biggest AI
11:45Poisoning Attacks on LLMS Require a Near-Constant Number of Poison Samples (Paper Review)
11:45Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples (Paper Review)
11:30Production RAG Implementation Guide
10:52RAG Explained: How to Connect ChatGPT With Your Own Data — A Complete Developer’s Guide
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124