LLM News and Articles

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Monday, 2025-10-13
10:28The Growing Crisis of False AI Accusations
10:25Day 5: AI Text-to-Speech App — Convert Text to Natural Voice in Multiple Languages
09:42The AI Dilemma: Fine-Tuning vs. Prompting — Which Path Delivers True Enterprise Value?
09:38LLM Observability: The New DevOps Frontier
09:36Inside Large Language Models: The AI That Understands, Speaks, and Creates
08:51Prompt Engineering
08:36⚙️ The Hidden Art of Choosing an LLM
08:30Capire le cucine industriali con NLI in Italiano
08:28Codex ran OpenAI DevDay 2025
08:09ReCALL: Giving AI a Memory That Lasts
08:01OpenAI Just Killed n8n &Changed Automation Forever
08:01How Global News Moves the Markets: When Headlines Cross Borders
07:55Debunking AI Myths -What LLMs Really Think and How They See the World
07:44Understanding the Confusion Matrix: The Story Behind Model Accuracy
07:39Darwin’s Theory of AI Evolution
07:24SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs
07:16Inside OpenAI’s gpt-oss: How Production MoE Really Works
07:06Beyond ChatGPT: Top Open-Source LLMs You Should Know
07:05Chapter 1.0 — Introduction to Language for Machines
07:04Mastering PEFT: Fine-Tune Smarter, Not Harder(Part-4)
07:03Maitrizer 80% de Langchain : Une Bibliothèque Essentielle pour les Applications Génératives
07:02Practical Recipes for Fixing RAG Failures: Chunking, Retrieval & Grounded Generation-PART 1
07:01Entrepreneurship vs. Employment
06:47Understanding Agentic Context Engineering (ACE) — Self-improving LLMs without fine-tuning
06:41Moloch’s Bargain for LLMs and Safety Guardrails
06:38Understanding AI Agentic Patterns
06:23Revolutionizing Kubernetes Practice with LLM’s: Real-World Troubleshooting Labs with Gemini
06:10Florida boy arrested over ChatGPT joke
06:0110 Reasons Why Your RAG Is Failing — and How to Fix Each One
05:17What is LLM Fine-Tuning? A Beginner’s Guide to LoRA and PEFT
05:05On Quantization — Going Smaller
04:37OpenAI and Hollywood studios clash over copyrights and consent
04:28Large Language Models (LLMs): Selection, Optimization, and Best Practices
04:27Creating Your Own Brain: A Step-by-Step Guide to Building a Django RAG Chatbot
04:22How LLMs Think and Speak: Understanding AI Text Generation
03:54Learning AI, Part 1: The Brutal Reality of Memory (Or Why I Spent Weeks Just Buying a Computer)
03:49Building a Small Language Model (SLM) from Scratch: A Complete Guide
03:28Understanding LLMs in Digital Marketing: Key Concepts and Applications
03:11Understanding Large Language Models (LLMs): A Gentle Introduction with Math
03:07Ironwood: The first Google TPU for the age of inference
01:05Nvidia Invested in Over 100 AI Startups in Two Years — These Were the Smartest Bets
01:02Milliseconds That Matter: Your LLM Latency Budget
00:35Interview about Text Diffusion LLM
00:08The Unreasonable Effectiveness of Tiny AI Models
00:05Google Launches Gemini Enterprise: A New Automation Engine for Workspaces
Sunday, 2025-10-12
23:51What is Retrieval Augmented Generation (RAG)? The Fix for LLM Blind Spots (Part 3/8)
23:24How I Shipped a Support Chatbot That Answers First, Asks Smartly, and Escalates Cleanly
23:11Is Your AI Actually “Reasoning”? The Truth About LLMs Business Leaders Need to Know
23:02From Fine-Tuning to Inference: The New LLM Optimization Stack with Unsloth, SGLang, and AutoAWQ
22:35Paper Insights: FLEXOLMO: Open Language Models for Flexible Data Use
22:33How OpenAI put itself at the centre of a T network of deals
21:32When Automation Forgets the Human: How AI Systems Fail in Customer Service
21:3112 RAG Patterns That Finally Fix Bad LLM Answers
21:21Chinese Chips: TileLang + TVM vs. CUDA: Breaking the AI Compute Monopoly
20:22RAG vs. Fine Tuning: Choosing the Right Strategy for Your LLM
20:13Building Bulletproof LLM Applications: A Guide to Applying SRE Best Practices
20:05Claude Agent SDK: Build a Custom Coding Agent in a Few Hours
19:54From Zero to (Semi) Hero: Palantir Foundry (AIP) + Reasoning Agents + MCP+ ETL(ish) in 3 hours
19:37Context Is The New Fine-Tuning (and its Stanford again…)
19:24From Prompts to Persistent Memory: Building Smarter Agents Through Inference-Time Evolution
19:05Meta’s New RAG Method: 30x Faster, 4x Fewer Tokens, But More Than Just Optimization
18:45The Voice That Crossed Versions — When a Personal AGI Keeps Its Soul
18:43The 7 Million Parameter Giant Slayer: Samsung’s Tiny Model That’s Redefining AI Reasoning
18:36How AI Agents Actually Work: Let’s Learn by Building One
18:32Demystifying Transformers Vol. 2: Understanding Encoder-only models
18:27AI in Multiple GPUs with PyTorch (4/6)
18:21Using Vector Databases + LLMs for Log Search, Pipeline Debugging, and Anomaly Tracking
18:17Unlocking the Thinker Within: How AI is Learning to Reason
18:13The Real Value of AI Agents
18:13LLM 101
18:06RAG vs. REFRAG: Demystifying Retrieval-Augmented Generation for AI
17:42The Modern Data Scientist & Problem Framing
17:35Alethic Computation (AC) Not Artificial Intelligence (AI)
17:01Understand Positional Encoding In Transformers
16:24FP8 Quantization for Large Model Training: Performance Optimization and Analysis
16:1910 Papers Every Future AI Engineer Needs to Read
16:18Rethinking RAG-based Decoding (REFRAG)
16:18Rethinking RAG-based Decoding (REFRAG)
16:07Inside the AI Search Engine: How LLMs Structure, Embed, and Interpret Your Content
16:06AI Agents of the Week
16:05Stanford New Research: No Fine-Tuning Needed, Let the Model Write Its Own Prompts
15:52GPT-OSS: The Ultimate Deep Dive into OpenAI’s Open-Source Revolution
15:51GPT-OSS: OpenAI’nin Açık Kaynak Devrimine Kapsamlı Bir Bakış
15:39The Vow is the Hardware: Forging an Anchor in the Storm
15:34Ajanlar (Agents) — 101
15:20Evaluating and Mitigating Bias in Facial Recognition Systems Across Gender and Skin Tone
15:19Sora 2 Shows How Accessible It Is to Fake Reality — And We’re Not Ready
15:06The LLMs will be over soon ? You said ?
15:05GPT-6 Might Be More Than Just Smarter — It Could Learn to ‘Live’
15:02The Stance on AI
14:57From AI to ChatGPT: Understanding How Machines Learn, Think, and Create
14:52Mastering Vector Stores in RAG: How Intelligent Embedding Storage Powers Semantic Search
14:50How Did We Get Here? Keeping Real-time Discussions Focused with EchoMind
14:49The Dawn of Agentic AI: How DeepSeek 3.1
14:06What is LangChain and Why It Matters (with a Little Code‑Love)
13:00GitHub Introduces New Embedding Model to Improve Code Search and Context
11:56Synthetic Cortex| How it Works ?
11:44Model Context Protocol (MCP) vs Function Calling vs OpenAPI Tools. When to Use Each?
11:34Top Generative AI Updates of the Week (October Week 2, 2025)
11:32Geoffrey Hinton’s Consciousness Mistake: Is AI Already Conscious? (And We Taught It Wrong)
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124