LLM News and Articles

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Thursday, 2025-09-11
21:38A joint statement from OpenAI and Microsoft
21:31Beyond Innovation: Building AI We Can Trust
21:30The Paradox of Brilliance: Why Our Smartest AI Still “Bluffs” And How We Can Teach It True Humility
21:11How LTM (Long-Term Memory) is Redefining AI Agents
21:11The Fragility Paradox: When Humans Are Also “Prompt-Dependent”
21:08From FastAPI APIs to Secure MCP Tools Authentication Essentials
21:01An AI Resume Tailoring Agent with Python and Streamlit
21:01Why AI Keeps Lying to Us (And What We Can Do About It)
20:38LLMOps is the Future — The Next DevOps Revolution
20:33NEWSLETTER | South Korea strengthens AI strategy, Zhipu AI enticing Claude users to migrate
20:24Writing effective tools for LLM agents–using LLM agents
20:20Teaching Vector Embedding to my Mom
20:16A New Era for Healthcare — When AI Meets Healthcare Data
20:15The Beginner’s Guide to Machine Learning for Programmers
19:59‍✈️Tech Thursdays: Meet CrewAI — the multi-agent framework that thinks in teams
19:55OpenAI, Oracle sign 0B computing deal
19:43Challengers: An Overview of Post-Transformer Large-Scale Model Technologies
19:38Hands-On HPC Tips: What I Learned Training Language Models for My Dissertation
19:32Mamba for Dummies: Linear-Time LLMs Explained
19:30AI Moderation: Inconsistencies in Hate Speech Detection Across LLM-Based Systems
19:27Taste Still Matters: Why Software Engineers Need More Than AI Skills in 2025
19:17When Investors Said “Wow!” Designing India Index from first principles
19:04Writing in the age of LLMs: where the act of expression is the meaning itself
18:55Claude’s memory architecture is the opposite of ChatGPT’s
18:54Beyond the Spinner: Designing Fast, Sharp, and Reliable Multi-Agent AI Systems
18:49LangGraph: The Power to Unlock Agentic AI
18:27Building a Custom Tool for LangChain Agents
18:21Build Your First Local AI Agent with the Model Context Protocol (MCP)
18:13I Trained an LLM on Stack Overflow: It Learned to Be as Toxic as the Community
18:07Mathematical research with GPT-5: a Malliavin-Stein experiment
18:02We’ve Been Measuring AI Reasoning All Wrong. Here’s How to Fix It.
17:57Artificial Intelligence: Replacement or Reinforcement. #AiForHumans.
17:39Why AI Hallucinates — And How MIT’s “Semantic Firewall” Wants to Fix It
17:38Qwen3-Next: Towards Ultimate Training and Inference Efficiency
17:21On Tokenization — Learning the Complexities
17:16Bias in LLMs: How It Happens
17:11On Word Embeddings & Vector Databases — Storing More than Just Words
16:54How to turn Claude Code into a domain specific coding agent
16:45Zonos-Hebrew: Fine-Tuning Zonos on SASPEECH with a Phonikud Phoneme Pipeline
16:30MCP — The Missing Elixir for LLMs
16:26The Three Core Skills Every AI Engineer Actually Needs in 2025
16:26The Hidden Truth Behind AI’s Inconsistency: Thinking Machines Reveals the Root Cause and…
15:56How to Write Prompts: 7 Steps to Unlock AI’s Full Potential in 2025
15:34Süni İntellekt, Maşın Öyrənməsi, Dərin Öyrənmə və Generativ Süni İntellektə Baxış
15:10Paragen Technical Delivery Roadmap for Q3–Q4 2025
15:06Show HN: Asxiv.org – Ask ArXiv papers questions through chat
15:05When ‘Environment’ Becomes ‘Evaluation’: The Semantic Inflation of AI Terminology
15:05NotebookLM Updates FAQ and Timeline Features, But User Experience Still Needs Improvement
15:01LAI #92: AI Hype vs. Reality, Deepfake Detection, and Copilot+ PCs
15:01LLMs: Should You Prompt, RAG, or Fine-Tune?
14:56Crafting Multi-Agent RAG Systems with DSPy and GEPA Optimization
14:46How Enterprises Can Audit Their AI Visibility
14:42Network and Storage Benchmarks for LLM Training on the Cloud
14:13“Persistence ≈ Creation”: Why Cooperative Intelligence Can Spread by Natural Law
14:06The AI Banana That’s Eating Photoshop’s Lunch
13:56<The Misfit at Tech’s Cool Kids Table: Why Artists Are Indispensable in the AI Revolution>
13:34AI Mode: how it works and what it means for Ukrainian SEO
12:52LLM’s Simplified — Language Modelling and Decoding
12:52From LLMs(Large Language Models) to LCMs( Large Concept Models)
12:44How GPUs Revolutionize Vector Search: CUDA, cuVS, and Faiss in Action
12:43Small LLMs: When to Prefer 1–8B Models, LoRA/QLoRA, and Low-VRAM Finetuning Recipes
12:37Why RAG is Like a Triple Espresso Shot☕ for Your AI: The Caffeine Boost Your Chatbot Didn’t Know…
12:31A quick take on K8s 1.34 GA DRA: 7 questions you probably have
12:31The Free AI Tool They Don’t Want You to Know About: All LLMs at One Place
12:14A deeper look into using MCP in the enterprise
12:10Supercharge Your Sentence Embeddings: A Tale of Two Loss Functions
12:08Prompt Engineering: O Guia Definitivo para Dominar a Comunicação com IA
12:05When Words Learn to See
11:52Agno vs. LangGraph: Which AI Framework Wins on Speed?
11:52Agno vs. LangGraph: Which AI Framework Wins on Speed?
11:49AI's 4B 'language model' bet looks fragile
11:41LangChain vs. LangGraph: When to Use Which (and Why Not Just Any Framework)
11:38Beyond the Black Box: A Beginner’s Deep Dive into the LLMAD Paper on AI Anomaly Detection
11:33ChatGPT may start alerting authorities about youth considering suicide, says CEO
11:26New Peer-Reviewed Section & Vol. 1 Lexicon Update!
11:20MCP & Agent2Agent — What it is, why you should care, and how to implement them
11:17Implementing Guardrails in an Automated SDR Flow — Line-by-Line Explanation
11:00Supervised Fine-Tuning (SFT) Memorizes, Reinforcement Learning (RL) Generalizes
10:59REFRAG: Rethinking RAG based Decoding in a nutshell
10:45How AI Starts Getting Dark Humor
10:36OpenAI for Greece
10:35LLM Safety: Guide to Responsible AI
10:12From Prediction to Thought
10:08Inter-Head Instability: A Signal of Attention Disagreement in LLMs
09:329 LangChain Tool-Calling Patterns That Survive Traffic
09:25Qolaba.AI and Gemma 3n: Transforming Education in India’s Rural Heartland with Offline AI Learning
09:04Creating larger projects with LLM (as a coder)
08:58LLM-D for Proactive Cybersecurity: Scaling Intelligence on Kubernetes
08:29Best practices for high availability of LLM based on AI gateway
08:26Review of “A Two-Stage Cognitive Architecture for Large Language Models”
08:22Context Rot: How Increasing Input Tokens Impacts LLM Performance
08:10The AIVO 100™ Challenger 50: How AI Elevates Digital-Native Brands Over Legacy Giants
08:10LLM’s Simplified — Feed Forward Network (FFN)
08:05LangChain: Revolutionizing AI Application Development
08:00Unpopular but important #SEO take: LLMs.txt won’t boost your rankings (at least not yet).
07:57Docker AI Runner+OnlyOffice:Install & Run Docker AI Model Runner & Integrate with Onlyoffice.
07:57Docker AI Runner+OnlyOffice:Install & Run Docker AI Model Runner & Integrate with Onlyoffice.
07:46The AI Pricing Crisis: Why 95% of Companies Are Losing Money and Only Cash-Rich Giants Will Survive
07:24Basic Introduction: Who I Am and What I Do
07:19I Built Two AI Apps That Can Read Any Document or Website — In Under 100 Lines of Python
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124