LLM News and Articles

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Sunday, 2025-06-15
21:14The G in GPT and the Illusion of Intelligence
21:01How AI is Growing Like a Child: From Bengaluru to the World
19:43Assessing GPT Performance in a Proof-Based University-Level Course
19:37Let the Model Write the Prompt: Using DSPy to Decouple Your Task from the LLM
19:23The Deepline Prompt: The 4-Verb Trick to Make Your ChatGPT Smarter
19:05RAG: The Future of Intelligent Search in Data Science
18:55From Rant to Reality: Building a Real Product from a Real Problem
18:27Deepseek + Ollama + Elasticsearch: A Local RAG Playground with Docker!
18:10vLLM on RTX 5070Ti: Our Approach to Affordable and Efficient LLM Serving
18:00Streaming Smarter in 2025
17:49Pitfalls of premature closure with LLM assisted coding
17:42Model Context Protocol (MCP) for Retrieval-Augmented Generation (RAG) and Agentic AI
17:32ICML 2025 Sneak Peek: How Generative AI + RL Will Act, Not Just React
17:30Rest in Peace David Cope (May 17, 1941 — May 4, 2025)
17:26Why Modern LLMs Struggle with URLs (and How Markdown Helps)
17:18Anthropic: We built our multi-agent research system
17:18GraphRAG System with LangChain, Gemini and Neo4j
17:05Simulating Smart Conversations with NAO and AI in Webots
17:01How Large Language Models Are Transforming Scientific Research
16:56Why GenAI Engineers Are the Hottest Skill in AI Development
16:56Why GenAI Engineers Are the Hottest Skill in AI Development
16:41Self-Adapting Language Models
16:32Why Your AI Is Still Dumb — and How RAG Can Fix It Fast
16:14The Harsh Truth Behind the AI Craze: Cloud-Native Is the Real Lifeline in 2025
16:07What is LangChain? A Friendly Introduction for Beginners
16:03How NVIDIA Solved the “Multiple AI Models” Problem: A Deep Dive into LoRA Adapter Architecture
16:02Beyond the Hype: How RAG is Revolutionizing LLM Accuracy and Combating Hallucinations
15:59How AI Engineers Write Evaluation Prompts
15:52Why Your Vibe Coding Generates Outdated Code and How to Fix It with Milvus MCP
15:49The Week in AI Agents: Research You Should Know About
15:4911 Practical Notes about Prompt Engineering
15:31Prompt Engineering Fundamentals: From Zero to Hero
15:25Matrix Multiplication Isn’t Just Math: It’s How AI Learns to Mean
15:03Nvidia CEO criticizes Anthropic boss over his statements on AI
15:01401. How Large Language Models Reason and Connect Logical Facts
15:01Foundation Models Framework: Get Started With On-Device AI in Xcode 26
14:53Beyond Naive RAG: Why Your LLM Needs to Be a Diplomat, Not Just a Librarian
14:43From Hiring Fatigue to AI Efficiency: Tools I Built to Run Better Interviews
14:41How to Make Your LLM App Safe and Reliable Using Guardrails and Red Teaming
14:40Next steps in reasoning
14:32Everyone’s Chasing Bigger LLMs, But Your GPU Might Be Crying for Help
14:32Beyond Traditional RLHF: Exploring DPO, Constitutional AI, and the Future of LLM Alignment
14:32AI Code Review Agent built with LangChain & GitHub Actions
14:20Asking how to read stderr and stdout at the same time destroys GPT-4o
14:19An OSS Stack for AI Compute: Kubernetes + Ray + PyTorch + LLM
14:18ChatGPT: H1 2025 Strategy [pdf]
13:34AI sceptic in LLM adventure land
13:18Inside the Mind of Claude: How LLMs Solve Problems in Surprising Ways
12:39Stagehand: A New Era of Automation Testing with Natural Language and LLMs
12:33Show HN: PromptForge – A minimal AI SaaS to generate better GPT prompts
12:20How to Turn PDFs and CSVs into a Knowledge Graph with Neo4j + LLM
11:36Cursor Ollama Connect Now
11:32Multimodal Large Language Models (MLLMs): A Beginner-Friendly Overview Through 2025
11:29Our system prompt doesn’t store anything confidential — Puch AI Case Study
11:24Understanding GenAI, GPT, and Agent Concepts: A Beginner’s Guide to the World of Artificial…
11:19Your AI Assistant Has a Brain — It’s Called the MCP Server
11:17How Large Language Models Work
11:11Supercharge Your LLMs with Medical Intelligence with eka_mcp_server
11:10GenAI, GPT ve Agent Kavramlarını Anlamak: Yapay Zekâ Dünyasına Başlangıç Rehberi
11:06The launch of ChatGPT polluted the world forever
11:06Intro: The Siren Song of Agentic Framework
11:03RAG’s Dirty Little Secret: Why Your Hyper-Parameters Are Costing You a Fortune (And How to Fix It)
10:13LLM Recap: Usage Tracing with LangSmith or LangFuse
10:03Why Single AI Agents Are Failing at Scale (And What LangChain’s Latest Research Reveals)
09:58️ How to Build an MCP Server Using STDIO
08:53The Open-Source AI Tsunami: How Community is Drowning the “Black Box” Era
08:37Demystifying Large Language Models: A Beginner’s Guide
08:37Everyone Is Building SEO Tools. Nobody’s Ready for AEO.
08:21Recursive Ontolinguistic Collapse and the Illusion of Externality
07:36Your New AI Assistant: A Broker’s Guide to Using LLMs Safely and Effectively
07:16How to Build an MCP Server for LLM AI Agents?
07:13Vibecoding Wawes: Semantic search engine for music
07:00Navigating the AI Storm: How I Learned to Stay Calm in the Face of Rapid Tech Evolution
06:445 Ways LLMs Cut Life Cycle Assessment Time by 70% : And What’s Next
06:13MCP 101: Why Your AI Assistant Forgets Stuff Like a Goldfish
06:08Can SLMs challenge LLM Giants like ChatGPT-4 & DeepSeek?
05:57The Complete Lifecycle of Developing a Large Language Model (LLM)
04:46TensorRT
03:48The Incredible Power of Spring RAG: Simplifying Document Search with a Local Vector DB and…
03:17LangChain VectorStore and Embedding
03:07Multi-Cloud LLM Architecture (Azure/GCP) for environments with higher Azure volume commitment
02:52Understanding RAG: The Complex Engineering Behind a Simple Architecture
02:33Getting Started with LangGraph: A Beginner’s Guide to Building Intelligent Workflows
02:15Optimizing Matrix Decomposition Efficiency in LoRA Fine-Tuning: An Exploration Beyond SVD
02:14Show HN: An LLM Running on a PS Vita
01:57LLM Debugger – Visualize OpenAI API Conversations
01:45Do AI Models Have National Loyalties? A Look Into Geopolitical Bias in LLMs
00:52Ditch Duolingo: Learn a Language with Open-Source AI
00:22Getting the Most Out of ChatGPT: How to Pick the Right Model for Your Needs
Saturday, 2025-06-14
23:02LLMs as Digital Coaches for Metacognitive Training
22:40Journey from RNNs to Transformers: Evolution of Sequence Modelling
22:39Introducción a los Modelos de Lenguaje Grande (LLMs)
22:27The Complexity Cliff: What Enterprise Leaders Must Know About AI Reasoning Limitations
22:25Simple tweak to keep ChatGPT as objective as possible.
22:25What Are Ensemble Methods?
22:12Gödel Meets Turing Meets Schrödinger
22:09Large Language Models for Metacognitive for assessment of metacognitive skills in Acquired Brain…
22:06The Art of Prompt Engineering: Crafting Conversations with AI
21:43I Built the Same App with 4 Different AI Models. Then I Found MMaDA.
21:28LLMs and RAG Systems Explained
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124