LLM News and Articles

146 of 100
Monday, 2025-09-15
16:04Show HN: AI Research Environment (AiRE), search/chat ArXiv/Semantic Scholar pprs
16:03Learning to Understand
16:02NVIDIA’s Jet-Nemotron: The Revolutionary Hybrid Architecture That’s Redefining AI Inference with…
15:54Forget AI. The Next Big Thing is Alchemy
15:52‍ How I Built a Local AI Agent with Docker + Node.js + OpenAI Agents SDK
15:50Text to Knowledge Graphs with LLMs
15:45Temperature and Top-p — Creativity Controls in LLMs
15:44AI Rabbit Hole
15:35Anthropic Economic Index: Understanding AI's Effects on the Economy
15:32My thoughts on FE Engineering 2025ver. Buy the way where are LLMs?
15:31Build Your First RAG Chatbot using LangChain, FAISS, and Open-Source LLMs
15:31Liderança na Era das Supermentes: Humanos + IA Moldando o Futuro dos Negócios
15:30How LLMs Generate Text and the Role of Model Settings
15:16From Obsession to Visibility: How I Helped a Dubai Restaurant Show Up on Gemini
15:08Diffusion LLMs: The Secret to Training AI That Doesn’t Give Up?
15:05Sam Altman's longevity startup is testing a pill for a younger brain
15:05Created a standalone script for debugging GGUF models
15:05Asked GPT-5 to Design a 3D Rose, What Came Out Looked Like a Butt
15:04How Modern Professionals Can Use AI Tools to Boost Productivity
14:56How much post‑training data do you really need to fine‑tune a model?
14:51Relational Mechanism in Information and Gravity
14:46How LLMs Handle Context Windows: Memory, Truncation, and Prompt Strategy
14:21Why Large Language Models Need Causal Inference Datasets
13:13Understanding Large Language Models (LLMs)
13:12Tree of Thought Agent Pattern in LangGraph
13:08Show HN: I built LLM Quotes to collect and share funny/weird LLM outputs
12:49The Data Science of Making LLMs Explain Themselves
12:44Beyond the Chain of Thought: How Reinforcement Learning Is Teaching AI to Think in Parallel
12:43LLMs for Dummies
12:31Steering GPT-2’s Mind: A Practical Guide to Building a ‘Microscope’ for LLMs
12:31Two Axes, Four Patterns: Device-Aware GPU Binpack/Spread on K8s with HAMi
12:31Nork snoops whip up fake South Korean military ID with help from ChatGPT
12:24Governing AI Visibility: Why Boards Must Act Before Their Companies Become Invisible
12:22How people are using ChatGPT
12:08Lying LLMs Exposed: The Chilling Alignment Crisis
12:08OpenAI Ramps Up Robotics Work in Race Toward AGI
12:05Gemma 3 - 270M: Google’s tiny, practical LLM for on-device and fast prototyping
11:53Everyone Blamed Math. But This Paper Shows the Real Reason LLMs Act Random.
11:50Why LLM Gives Different Answers
11:40A comprehensive guide on inferencing in LLMs — Part 2
11:33Privacy Implications and Mitigation Strategies in Transformer-Based Architectures
11:24Production-Ready LLM Memory: Redis for Durable History and Semantic Retrieval — Part 2
11:22Production-Ready LLM Memory: Redis for Durable History and Semantic Retrieval —  Part 1
11:22Be a Better Machine Learning Engineer — Part 6 Deep Dive into Deep Learning Models
11:12Mastering Pydantic for LLM Workflows
10:58Bridging the Gap: How Engineers and PMs Ship Winning LLM Features Together
10:40Beyond the Training Data: How RAG Supercharges AI and Builds Trust
10:40LLMs as Database Interfaces: Can Natural Language Replace SQL?
10:36LLM Model for Your AWS Needs — SJ Innovation
10:19Something other than RAG: Supervised Fine-tuning?!
10:02LLM rerankers for production RAG: tips and tricks
09:50Anthropic Economic Index: Tracking AI's Role in the US and Global Economy
09:47RustGPT: A pure-Rust transformer LLM built from scratch
09:42Subgraph in LangGraph
09:19Beyond Majority Rule: How Meta Is Teaching LLMs to Find the ‘Right’ Answer, Not Just the Popular…
09:17OpenAI to share 8% of its revenue with Microsoft
08:21IndexTTS2 : The perfect TTS is here
08:08Mastering Prompt engineering Techniques From Basic to Advance Concepts
08:00Evals: The Four Pillars Every AI Product Manager Needs
07:56Building a Community LLM Exchange
07:45Small Language Models (SLMs) vs LLMs: Cost-Efficient AI for Modern Enterprises
07:37Paper Review: Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
07:35Tech & Digital in the Age of AI Search: iPhone Endures, Google Decays, ChatGPT Emerges
07:34LLM Part 1: A comprehensive intuition on training base LLMs
07:05Six Free Reinforcement Learning Resources You Should Actually Use
07:01The Model Context Protocol (MCP): Making AI Smarter and Friendlier
06:57The AI Archaeologist: How “Reverse Reasoning” Could Finally Unleash True Creativity in LLMs
06:50Building an AI Agent for Climate Tech: Automating ESG & TCFD Report Generation with LLMs
06:45The Hidden Tax of Stateless LLMs in Agentic Workflows
06:44OWASP Top 10 for Large Language Model based Applications
06:43Hands-On Transformer Deep Dive: Part 3— Positional Encoding, RoPE & YaRN
06:38Emotions & Hallucinations
06:36Build End2End Complex Agentic RAG in LangGraph
06:35Nature and future of AI
06:34Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models
06:20OpenAI Realizes It Made a Terrible Mistake
05:53Google’s VaultGemma Proves Privacy Doesn’t Mean Compromise, Rewrites the Rules for Secure Language…
05:37RAG as a Tool-Calling Agent in LangGraph
05:33When Language Becomes Flat: The Hidden Costs of AI.
04:31Build an Agentic RAG Workflow Using LangGraph
04:23Conversational AI vs LLMs: Key Differences for Business Success and Growth
04:22We've attacked 40+ AI tools, including ChatGPT, Claude and Perplexity
04:13AI Agents: How They Are Transforming Customer Experience and Business Operations
04:01Self-Correcting Knowledge Graphs with Neo4j and LLMs
03:36The Universe Isn’t Nondeterministic, It’s Just a Very Big GPU
03:328 RAG SLOs: Recall, MRR, Freshness, Latency — Balanced
03:32Multi‑Agent Architecture: Why Teams of Agents Beat Monolithic LLMs
03:32The Complete Guide to Agentic AI (PART #1): Transforming Business Through Intelligent Automation
03:32Long-Term Memory Management in LangGraph: Procedural Memory
02:56LLM Interpretability: Attention
02:47MCP in Practice: The Protocol That Lets AI Models Act — Part 1
02:31Chaining Prompts in LangChain: Best Practices
02:31Long Term Memory Management In LangGraph: Episodic Memory
02:12Build a Solid, No-Framework, Local Retrieval-Augmented Generation (RAG)
01:58Building Customized BI Chatbot on Databricks: Using Chainlit, Agent Bricks, and Lakebase
01:55Trajectory Simulation and Prediction using Generative AI
01:47Vector Search Benchmarks: How FAISS, Chroma, and Weaviate Really Compare
01:27LangGraph Long Term Memory: InMemoryStore
01:19One Month Later: An LLM Reunion Tour
00:40Build a Web Research Agent with Strands Agents, Ollama, Qwen3, and the Tavily MCP Server
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124