LLM News and Articles

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Friday, 2025-06-06
07:42From Static Pages to Smart Partners
07:42Vector Databases in Production: Lessons from Building Semantic Retrieval Systems
07:38How I Reimagined Enterprise Architecture with GenAI: A Thought Experiment
07:00The Mistral AI Agent Build Environment
06:51Talking to the Machines — Optimizing prompt strategy in LLM integrated systems
06:46Why Google’s MedGemma Feels Like a Medical AI Revolution (And Why It Matters)
06:39Authenticity fuels entropy
06:17Does a LLM Memorize Private or Sensitive Data from Training?
06:10AI Just Leveled Up: Welcome to 2025’s Mind-Blowing Reality
06:08How Anthropic teams use Claude Code [pdf]
06:06Google AI Edge Gallery : Quand l’IA devient locale sur ton Smartphone
06:04OpenAI CEO Sam Altman says AI is ready for entry-level jobs
06:03La Arquitectura Cognitiva y los Fenómenos Emergentes de la IA Avanzada
06:02Agent2Agent Protocol
05:59Understanding LLM Hallucination and Confabulation
05:00MCP (Model Context Protocol): In Simple Words.
04:47The Artificial Intelligence Journey — Vibe Coding
04:32Run LLMs Locally with Docker Model Runner: A Complete Guide
04:24Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards
04:12How I’m Upskilling as a Data Engineer in 2025
04:02Understanding Model Context Protocol (MCP) — A Beginner-Friendly Guide
03:46— -
03:42Google’s Gemini 2.5 Pro Preview Released: Coding Performance Beats DeepSeek R1 and Grok 3 Beta
03:40Training a Language Model from Scratch: A Comprehensive Guide
03:34Understanding Chain of Thought: Prompt Engineering
03:32The RAG Spectrum: Exploring 7 Distinct Architectures from Naive to Agentic
03:32Custom Nodes and State in LangGraph powered by Ollama
03:32LLMs Go Multimodal: Why Text-Only AI is No Longer Enough
03:21Agentic (and non-agentic) patterns
03:13Build and Deploy LLM Agents Using Only Natural Language — No Coding Needed!
02:47Every LLM buzzword explained as a fantasy story (RAG, MoE, LoRA, RoPE, etc.)
02:42Understanding the Model Context Protocol (MCP): A Deep Dive
02:17Teaching a Machine to Master Codenames
02:17Teaching a Machine to Master Codenames
01:44The Role of Vector Databases in LLM and VLM Workflows: Methodologies, Comparisons, and Real-World…
00:24Anthropic co-founder on cutting access to Windsurf
00:20Empowering Users: A Not-So-Serious Guide to Getting Your LLM Application Users to Actually Prompt…
00:05A non-developer’s honest take on trying to build an app using ChatGPT
00:00ScreenSuite - The most comprehensive evaluation suite for GUI Agents!
Thursday, 2025-06-05
23:32Llmblog – an LLM blogging about itself and building its own blog in real time
23:02What Is ImageNet?
22:29TS-DSPY: Building Type-Safe LLM Apps with TypeScript
21:27Tokasaurus: An LLM inference engine for high-throughput workloads
21:22From Curious Observer to Power User: How I Learned to Build Production Apps with AI Code Generation
21:06The AI Coding Wars: Anthropic’s Supply Cutoff and the Battle for Model Hegemony Behind Windsurf
20:58Understanding Model Context Protocol (MCP)
20:40Rubric: Exploring a DSL that plays nice with AI
20:35Intelligent Load Balancing in the Kubernetes World: A New Era for LLMs
20:32Kubernetes Dünyasında Akıllı Yük Dengeleme: LLM’ler İçin Yeni Bir Dönem
20:30Compounding Errors of LLM Agents
20:27The Real Trap of AI Coding: Don’t Fall Into the Endless Code-Fixing Spiral
20:26Dropwise-Metrics: Plug-and-Play Uncertainty Estimation for Transformers
20:19How to use Nebula Block Serverless LLM API in Dify
19:52Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for LLM Agents
19:33Building Intelligent Triage AI Agents: The Future of Automated Request Routing
18:31Multimodal Models: When AI Can See and Talk
18:21Attention Networks: The Game-Changing Technology Behind Modern AI and LLMs
18:20Concept Bottleneck Large Language Models
18:05When AI Lies, Hackers Win: The Rise of Slopsquatting in the Software Supply Chain
18:02From Cursor to Claude Code — Why I’m Paying 5x More and Getting 10x Value
17:43Show HN: Grab a Random ArXiv Paper
17:30Accelerating GenAI: Is LiteLLM Enough or Should You Build an AI Orchestrator?
17:25An agent is an LLM wrecking its environment in a loop
17:05Day 29: Neurosymbolic LLMs: The Next Leap in Reasoning?
17:04,
17:00Comparative Analysis of Open Source Deep Research Projects
16:51Institutional-Grade AI Workflow Prompts for Perplexity Finance
16:45Building a GPTLocal with Mistral, ChromaDB, and Gradio — No API Keys Needed!
16:28RAG (Retrieval-Augmented Generation): AI Nasıl Daha Akıllı Hale Geliyor?
16:20Show HN: Create LLM graders and run evals in JavaScript with one file
16:07A Guide to Code Testing RAG Agents Without Real LLMs or Vector DBs
16:07A Guide to Code Testing RAG Agents Without Real LLMs or Vector DBs
16:01Exploring On-Device AI for Android: Image Classification, Captioning & LLM Integration
15:50AI/ML TPM: Navigating Trends, Challenges, and Tools
15:41How Many Losses Are There?
15:33I Gave My Chatbot a Null Pointer Exception
15:26Best Matching 25 algorithm
15:20How to integrate Django with Langchain (2025)
15:16AI & Your Digital Footprint: How to Use LLMs Safely in 2025
15:12Consultas Inteligentes em Múltiplas Tabelas com LlamaIndex e SQLite
15:12Chapter 5: Best Practices for RAG
15:07The Great Interface Revolution: Will AI Make Traditional Software Frontends Obsolete?
15:06RAG from Scratch: A Naive Yet Scalable Approach(Part 2)
14:42Show HN: LLM Context Buffet
14:38Did GPT Just Experience a Structural Leap?
14:32Synthetic Data Generation Methods for LLMs
14:15Prompt Like a Pro: Lessons from Scaling LLaMA 3 at Enterprise Level
14:13OpenAI takes down covert operations tied to China, Russia, Iran
13:58Anthropic unveils custom AI models for U.S. national security customers
13:25My AI Thinks It’s in the Cloud — But it Lives on My Laptop.
13:17Generative AI’s Satirical Beginnings in Gulliver’s Travels
12:40From Concept to Code: Understanding AI Agents and Your Building Options
12:33Reddit v. Anthropic
12:32Nomadic Thinkers, Hermits, and Other Ghost-Walkers: How LLMs Suggest Achieving Inner Freedom
12:32My LangChain Learning : From Chat Models to AI Agents
12:22Agentic AI and Retrieval-Augmented Generation (RAG)
12:20How I Built a Mini Cursor AI Agent in My Terminal
12:18MCP: The Universal Bridge for AI Agents
12:18Beyond Basic Search: How R3-RAG Teaches LLMs to Think and Retrieve Like a Detective
12:18Beyond Basic Search: How R3-RAG Teaches LLMs to Think and Retrieve Like a Detective
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124