LLM News and Articles

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Monday, 2025-10-13
16:10AquaSense AI : GeoAI for Smart & Sustainable Inland Water Intelligence
16:05MIT’s AI Starts to Rewrite Its Own Code and Gets Smarter Over Time
16:02How to Context Engineer to Optimize Question Answering Pipelines
15:56Echo Traps & Empty Chairs
15:45AI Didn’t Enhance ERP. It Cannibalized It — And 3 Vendor Paths Are Now Doomed
15:39How I Localized My App (Today Planned) Using a Local LLM
15:38Deep Dive into ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
15:38Deep Dive into ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
15:36All Data and AI Weekly #211: 13 Oct 2025
15:29Latency Diet for LLMs: Cutting Millisecond Fat Without Losing IQ
15:28How to Reduce Non-Determinism and Hallucinations in Large Language Models (LLMs)
15:25Why I’m starting this Journal?
15:22NanoChat – The best ChatGPT that 0 can buy
15:13The Architectural Foundation of AI Agents
15:12Don't Buy Antivirus, Use an LLM Instead
15:05OpenAI Joins Forces with Broadcom, Powering the Power Battle Behind 10GW Chips
15:02Earn up to from your first referral (friends get 15% off)
14:53Multi-LoRA and LoRA Composition: The Ultimate Guide with Diagrams
14:45OpenAI partners with Broadcom to design its own AI chips
14:33LLMs and stuff
14:19Mastering AI as Agile Practitioners with the AI 4 Agile Course
14:12⚙️ Optimizing AI Models for Scalability
14:00Tokens, Context, and Embeddings: The Secret Language of LLMs
13:51Archestra's Dual LLM Pattern: Using "Guess Who?" Logic to Stop Prompt Injections
13:21How I Shrunk a 6.62GB Medical AI to Fit on a Community Health Worker’s Phone
13:17OpenAI and Broadcom to deploy 10 GW of OpenAI-designed AI accelerators
13:14OpenAI to purchase 10 gigawatts of chips from Broadcom
13:07Bilibili Mod APK vs Premium APK: Which One’s Worth It in 2025?
13:07OpenAI Inks Deal with Broadcom to Design Its Own Chips for A.I
12:36Building your own secure, local AI web co-browser in Linux Mint
12:23Building My First MCP Tooling Stack: From Zero to Weather-and-Currency Agent (With Ollama)
12:18Lets go beyond GPT - A Deep Dive into Text Diffusion Language Models
12:11Reddit stock falls as references to its content in ChatGPT responses plummet
11:56Build 3 Agents with A2A Protocol
11:41Don’t Force Your LLM to Write Terse Code: An Argument from Information Theory for q/kdb+ Developers
11:40The AI Lock-in: Unlocking Specialized Knowledge with CASM
11:05Adding Intelligence to Your Applications: Why AI-First is the Only Way Forward
11:02Build or Buy for AI-Powered Scraping in 2026: Cost, Compliance and Speed
11:00Chain-of-Thought Is Holding Your Data Science Back
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
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124