LLM News and Articles

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Tuesday, 2025-05-27
04:15Notes on Scalable Oversight Architectures
04:11Curated List Of Resources to Master AI Agents
04:11Mistral Devstral: El nuevo LLM que supera a GPT-4 en ingeniería de software
04:07Learning Algorithms for Agentic AI
04:02Building Your Own AI Powerhouse: Multi-GPU Guide for LLMs
03:56AI Agent Automation Tools: Trends and Beginner Recommendations
03:39RAG Pipeline From Query to Grounded Answers
03:32Memory in LLMs: Why They Don’t Remember You (Yet)
03:22What Claude Opus 4 Gets Right That Others Still Don’t: An Inside Look
02:09The 200 Trillion Parameter Challenge: What Real Human-Level AI Might Actually Cost
02:05Can Writers Use AI Ethically?
01:57Stateless vs. Stateful: Why the Future of Serverless LLMs Depends on Rethinking Old Assumptions
01:46Ollama vs. OpenAI & Gemini: It’s Not a Fight, It’s a Cost-Saving Love Story
01:12Decode AI for Recruiters: How to Recruit for AI Skills and Candidates
00:39Beyond Training Data: How Anthropic’s Web Search API Powers Threat Hunting
00:37Why Claude Is the Future of AI: Safety, Alignment, and Scalable Intelligence
00:34Introducing Microsoft’s Foundry Local
00:29Last Year in GenAI: Part 3 of 3— Evaluation, Ethics, Applications, and What Lies Ahead
00:28Last Year in GenAI: Part 2 of 3— AI’s Expanding Capabilities and the Quest for Efficiency
00:27Last Year in GenAI: Part 1 of 3 — Architectural and Training Innovations in LLMs
00:25Gemma 3 — Performance: Tokens Per Second in LM Studio vs Ollama — Mac Studio M3 Ultra
00:11Beyond Fine-Tuning: Mastering Reinforcement Learning for Large Language Models
00:06Attention Part 5 of 5 — The Horizon of Attention: Cutting-Edge Research, Future Challenges, and…
00:05Attention Part 4 of 5 — Peak Performance & Industry Innovations: IO-Aware Attention and Deepseek’s…
00:04Attention Part 3 of 5 — The Efficiency Toolkit: A Survey of Advanced Attention Mechanisms
00:03Attention Part 2 of 5 — The Scaling Challenge: Why Standard Attention Hits a Wall
00:03Attention Part 2 of 5 — The Scaling Challenge: Why Standard Attention Hits a Wall
00:02Attention Part 1 of 5 — The Attention Revolution: Understanding the Core of Modern AI
00:02Attention Part 1 of 5 — The Attention Revolution: Understanding the Core of Modern AI
Monday, 2025-05-26
23:59Automating Kubernetes CI/CD with a LangChain AI Agent and MCP Servers
23:06Enviando e-mails com a IA: conectando Gmail ao MCP
22:54FLASH ATTENTION: Fast and Memory-Efficient Exact Attention with IO-Awareness: Paper Review
22:40Prompt Engineering in Practice: Why Your Words Matter More Than You Think
22:33The AI Eye for Design: Which LLM Can Spot Your Software?
22:22Supercharge Your Prompt with This
22:17Every Home Needs an AI Engine
22:17I Fed My Thoughts to an AI — And It Helped Me Breathe Again
22:14Non-Pointless Software Projects for New Devs in the LLM Age
22:10Am I hot or not? People are asking ChatGPT for the harsh truth
22:05Shrink, Speed, Repeat — A Gentle-to-Pro Guide to Model Quantization
21:55Reinforcement Learning from Human Feedback (RLHF) — Models, Losses and their explanations
21:53LLMs explained (Part 2): How LLMs collect and clean training data
21:50Choosing the Right LLM for Your AI Project: What No One Tells You
20:42CUDA’s Enduring Shadow: Charting a Course in the AI Hardware Galaxy
20:41DeepSeek demystified and lessons learned
20:36Skip Intro at Scale: How I Built Netflix’s Missing Feature for @@CONTENT@@.30 per Movie
20:22Why ChatGPT is unlikely to solve climate change
20:14From Unstructured Chaos to Structured Insight: Building a Graph-RAG-Ready Knowledge Graph
19:39OpenAI software ignores explicit instruction to switch off
19:36Dando voz à IA: conectando uma LLM ao MCP com OpenAI
19:15The Code of Consciousness: What LLMs, Panpsychism, and Daoism Reveal About Reality (And Why It…
19:15From Vibe Coding to Real Product: Building Aiibou (Part 1)
19:06The Ultimate AI Showdown of 2025: OpenAI’s o3 & GPT-4.5
19:05LLMs: Great Guessers, Not Knowers, Why I turned off ChatGPT Memory!
19:04Fine-Tuning a Customer Support Model for under
19:02How to Set Up and Run LLMs Locally Using Ollama Mac / Windows
18:55UAE becomes first to offer ChatGPT Plus to every resident and citizen
18:54LLMs Are Not a Silver Bullet: Why AI Won’t Magically Solve Everything
18:54A Detailed Comparison of LLMs in 2025 - ChatGPT vs Gemini
18:52Operator ChatGPT: Your AI Friend for Easier Online Tasks
18:42Reading Images with GPT-4o: The Future of Visual Understanding with AI
18:32The Expanding Horizon of LLMs and GenAI: Unraveling the Breakthroughs in 2025 and Beyond
17:33Running large language models locally using Ollama
17:22OpenAI Datacenters Follow the Money to Abu Dhabi
17:04Show HN: I built a self-hosted alternative to OpenAI Code Interpreter
16:56Inside China’s Agent Hospital: AI Doctors Get Residency
16:52An In-Depth Look at Claude’s System Prompt
16:45Supervised Fine-Tuning (SFT) vs. Retrieval-Augmented Generation (RAG)
16:45AI Learning Roadmap for Product Managers (Free Resources Only)
16:26How I Built the Groq Prompt Generator: One Platform, All the Tools I Needed
16:25RLAIF Is The Future. But What Could Go Wrong?
16:22Quelle IA choisir quand on est un professionnel de santé ?
16:21LLM Fundamentals: Training GPT from Scratch with PyTorch
16:15Building a Chatbot in Python Using NVIDIA’s LLM Model
16:08Prompt injection e manipolazione delle AI
16:02AI Waterfall: How to spend less money on LLMs using tiered intelligence
15:52Why ChatGPT Is More Than a Toy for Professionals
15:47Your new librarian : How the Document MCP Server Could Change Everything
15:41Navigating the Labyrinth: A Developer’s Guide to Essential Python LLM Frameworks
15:41Choosing the Right AI Model for the Task: A Developer’s Guide
15:38AI Agent — VI : Mastering the Core and Advanced Concepts of AI Agents: A Deep Dive
15:29The Limits of LLMs — and When to Use Prompt Engineering, RAG, CAG, or Fine-Tuning
15:25“Automating Insights: Building Prompt-Driven Analytical Pipelines”
15:24MCP Multi-Tool Orchestrator with Telegram Integration
15:23The New Age of Attention: How Transformers Are Rewriting the AI Playbook
15:02How I Automated a Manual Data Process Using LLMs
14:54What Does It Mean to Compute at Scale?
14:53LangChain: The Backbone of Modern LLM Applications
14:11Someone trapped an LLM and infused it with existential dread for art
13:42Using MCP with OpenAI & MCP Servers
13:39Show HN: AI Page Ready – Is Your Website Ready for ChatGPT, Gemini and Claude?
12:37The Fellowship of The RAG
11:57Building with LLMs Locally? 7 Essential Tools for AI Developers on macOS in 2025
11:51Cursor: The Secret Weapon That Will Change How You Code Forever (with Real Commands, Workflows &…
11:45Drawing Parallels Between Traditional ML and Gen-AI
11:26LLM Apps in .NET: Implement RAG on Azure in under 10 minutes
11:25Beyond the Hype: Lessons Learned from Building an LLM-based Extraction MVP
11:25Jony Ive's OpenAI Deal Puts Pressure on Apple to Find Next Big Thing
11:23How 5 Interns Propelled My Company Into the AI Future in Just One Month
11:22Is the hype around Vibe Coding even real?
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124