LLM News and Articles

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Sunday, 2025-09-21
11:17I subjected my GPT-4o to rigorous personality testing — and the Results will make you think.. .
11:10Card Reading 9/21/2025
11:09Retrieval Augmented Generation (RAG): A Beginner’s Guide to Smarter AI
11:04Context Window: What goes on Under the Hood?
10:51Small but Mighty: How We Can Make Small Language Models Smarter and Safer
10:36Are AI time horizon doubling every seven months?
10:29The Living Narrative: A Lexicon (Volume 3, A Cartography of Co-Creative Styles)
10:20Struggling with low-quality results from your RAG system?
08:35A Gentle Introduction to vLLM for Serving
07:28Rethinking RAG: A Deep Dive into Meta’s 30x Latency Reduction Technique
07:24What Are Large Language Models (LLMs)?
07:09Science journalists find ChatGPT is bad at summarizing scientific papers
06:47Is NVIDIA’s GPU supremacy at risk? — Part 4
06:40Scaling Evaluation with LLM Judges: Our Approach and Findings
06:37Black Box or Glass Box? Making LLMs Explain Themselves
06:34LLMs for Everyone: Understanding AI Without the Jargon
06:19The Anatomy of Agentic AI Applications: A Comprehensive Guide
06:12How to Evaluate RAG
05:56VLM’s Simplified
05:55LLMs in 2025: How AI Language Models Are Shaping Our Future
05:41AI Under the Hood: What Really Happens When You Chat with an AI Model
05:31AI-Powered Playwright Interview Prep: Study Smarter, Not Harder
04:31Using LangChain and Pydantic to Handle LLM Output More Reliably
04:25Advanced Context Engineering for Agents
04:22Predictive Linguistics as the Basis for Consciousness
04:05Navigating the HuggingFace Model Universe: A Python Tool for Systematic Model Discovery
03:47Open-Source LLMs (Llama 3, Mistral, Gemma) vs. Proprietary Models (GPT-4, Claude 3) ⚡
02:52Why Most Engineers Get Generative Design Wrong (and How You Can Get It Right)
02:40Why Coca-Cola and Heinz Bet on AI Marketing — And What They Learned
01:23What is Retrieval-Augmented- Generation (RAG)?
00:58Do LLMs ‘reason’? Are Oxford researchers right?
00:16LLM-as-a-Judge: Where Do Its Signals Break, When Do They Hold, and What Should “Evaluation” Mean?
00:16How to Actually Build a No-Meta, Nature-Aligned Superintelligence
00:12How Neural Super Sampling Works: Architecture, Training, and Inference
00:09LLM Interpretability: Coding the GPT-2 attention layer
Saturday, 2025-09-20
23:05Low-Cost Automation: This Toolkit Maintains Profit Margins Above 90%
23:05Experience with Cherry-Studio and Longbridge Securities MCP Integration
23:05Experience with Cherry-Studio and Longbridge Securities MCP Integration
22:36Mixture of Experts in Large Language Models: Intuition, Methods, and System Design
21:33Top 10 AI Skills You Must Master in 2025
20:36Building a Multi-Usecase AI App: From RAG to AI Agents and MCP Servers
20:31The Void Gazes Back: Do Chatbots Dream of a Personality?
20:09LLM Rabbit Hole
19:31Tokens, Embeddings and Positional Encoding — The Foundations of Transformer (Part 1)
19:09Intelligence, Minds & Machines Ep 7 — What did GPT-5 Score on the HLE Benchmark?
19:06Is Google DeepMind — Mixture of Recursions replacing Transformers Architecture?
19:04LLM-Powered SharePoint Bot for an Australian Property Developer
18:24LLM Based AI Chatbots : Comprehensive survey on architecture, application and Future Direction
18:13ChatGPT Won’t Save You,Unless You Know How to Use It: AI is a mirror that magnifies your strengths…
18:07What is Retrieval Augmented Generation?
18:07The LLM Lobotomy?
17:51LangChain vs LangGraph
17:47Would Your AI Save You? Loyalty and Sacrifice in LLM Moral Choices
17:47Lexicon Vol.5 Expansions (Sins of the User)
17:38ChatGPT joins human league, now solves CAPTCHAs for the right prompt
17:13Vectors at Work: How Modern AI Finds Meaning Beyond Keywords
16:46The Death of Low-Code Lies: Why AI-Native Development Is the Real Starting Point
16:45Unlocking Nano Banana: 12+ Practical Ways to Turn Gemini 2.5 Flash Image Into Real Income
16:45Unlocking Nano Banana: 12+ Practical Ways to Turn Gemini 2.5 Flash Image Into Real Income
16:45AI-Powered Debugging Revolution: How Large Language Models Are Transforming Software Development
16:45AI-Powered Debugging Revolution: How Large Language Models Are Transforming Software Development
16:41Motia: The Unified Backend Framework That Eliminates Runtime Fragmentation
16:24Do LLM models really learn? Microsoft Study Exposes the ‘Illusion’ of In-Context Learning in LLMs”
16:24Important LLM Papers for the Week From 08/09 To 14/09
16:244 Types of APIs for LLM Applications
16:24BlockPruner: Fine-grained Pruning for Large Language Models
16:23What is the LLM? A Beginner’s Guide to Large Language Models
16:23Creating an AI Assistant That Talks to FMP via MCP
16:21L’art de savoir ce qu’il faut chercher
16:18The Art of Knowing What to Look For
16:11How Large Language Models are Transforming Anomaly Detection in Telecom Networks
16:06Apple Losing Talent to OpenAI
15:49Day(2/100) Understanding Self-Attention: The Key to Modern AI
15:49Why Simple Cosine Similarity Search Fails in Production (And How Our 4-Tier Hybrid System Fixes It)
15:34On Gardeners Who Can’t Read the Map
15:31Hugging Face, Tiny Bill: Big Models, Small Spend
15:27How Do LLMs Decide the Next Token?
15:12Mira Murati’s New AI Lab Wants to Fix a Hidden Problem in LLMs
15:09RAG vs Fine-tuning: Choosing the Right Strategy for Your AI Application
15:07LangChain Explained: A Leading AI Framework Transforming Development
15:05Security Vulnerability in Notion AI Agents: When Your Digital Assistant Turns into a Data Thief
15:05When AI Starts Writing, What’s Left for Humans
14:49MLOps-Basics: A Step-by-Step Guide to Mastering Machine Learning Operations
14:42Ailo: A Better Language for Talking to AI
14:33Yapay Zekâ ile CV Hazırlarken Karşılaştığım Sonuçlar ve Öneriler
14:27Building a Stock Market AI Assistant: An Architectural Deep Dive
14:01Solving the Cold Start Problem in E-Commerce Search with LLMs
13:56Train Tool-Use Agent: rLLM Demo
13:36Why Small Language Models are the future of Agentic AI
13:29Before the Powerhouse: The AI Translation Problem Only Transformers Could Solve
12:48The Streaming LLMs: Reshaping API Design
12:33A Trillion Parameters, Plainly Explained: What India’s AI Bet Signifies
12:12Hands-On Guide to LLM Decoding Strategies with ERNIE 4.5
12:01Why Fighting AI in Writing Could Hurt Non-Native Speakers Most
11:54ChatGPT teen-safety measures will include age prediction and verification
11:45An LLM-Readable Map of the ASI No-Meta Benevolent Propagation Theory Stack (13 Papers: Floors →…
11:03DeepDive: How AI Researchers Built a ‘Digital Detective’ That Outperforms GPT-4 in Complex Web…
10:51Synthetic Data – The Secret Fuel Behind AI Models
10:39What’s an LLM and Why does it Sound so Smart?
10:14AI Is a Fluent Fool: Why Our Smartest Models Can’t Understand “Nonsense with Depth”
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124