LLM News and Articles

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Friday, 2025-12-19
15:29Memory Learning, Model Titans (Behrouz et al, 2024)
15:08Abstractions Are Dead. AI Finished the Job.
15:02Ask Ethan: How do LLMs/chatbots impact students and cheating?
15:00Legal Document Classifier: How AI is Transforming Know Your Business
14:34Transformers & LLMs — Part 4: Scaling Attention and the BERT Deep Dive
14:26Prompting Techniques: A Simple Guide for Beginners
14:17Hindsight: The Memory Breakthrough That Finally Lets AI Agents Learn
14:05AI is Storming Workplaces faster than PCs or the Internet
13:59From GPT to Open-Source LLMs: The AI Power Shift
12:52This Week In AI Research ::: The GigaTIME Breakthrough in Population-Scale Cancer Research
12:39Beyond the Transformer: Why AI Needs “Time” to Think
12:30Architecting Trust: A Strategic Framework for Building Guardrails for Agentic AI
11:562025 — 12 LLM ‘s
11:48Fine-tuning Qwen3 at home to respond to any prompt with a dad joke
11:47Tokenization Explained for Developers: BPE, WordPiece, Unigram — With Node.js Code Examples
11:24ThreadWeaver: When LLMs Stop “Thinking Harder” and Start Thinking in Parallel
11:00Synthetic Data Generation Using Simulation: Solving the Data Scarcity Problem in ML
10:55From Zero to AI App: Build and Deploy Your First LLM Project
10:39Building Production-Ready AI Systems: The Complete 2025 Implementation Guide
10:37LLM Fine-Tuning Services: Custom AI Intelligence for Business Growth | SyanSoft Technologies
10:20LLM Citation Decay: Why Brands Disappear from AI Answers (Even When Nothing Changed)
10:03Thermodynamic Reference Conventions for No-Meta AI: How to Audit Dissipation Under the Second Law
09:59From zero to RAG: mastering Semantic Search in BigQuery
09:50Fine-tuning an LLM
09:46Managing Regulatory Risk in Enterprise AI
09:45AI LLM Online Training in Hyderabad | at Visualpath
08:42The Predictability Paradox: Why Large Language Models Are Deterministic Systems That Feel Random
08:41Why Most Agentic Systems Collapse in Production
08:06From AGI Singleton to AGI-Co-Agency: A Viable Path Beyond the 1950 Paradigm (3/3)
07:40Backdoor Attacks for AI Models
07:10Part 2: Building Your First AI Agent: A Practical Guide with LangChain
07:05From Models to Agents: How AI Engineering Is Quietly Redefining Tech Careers (and Test Automation)
06:58The End of the App Engineer: Why the Next 10 Years Belong to Builders of Agents
06:50Understanding LLMs (Large Language Models) and AI Overviews
06:46The Context Constraint: Mitigating Regulatory Risk by Separating Skill from Knowledge
06:41Part 0: The Journey in Climbing Out of The LLM Trap in CTI
06:37How To Select the Optimal Chunk Size for RAG Applications with LLM Judge and PydanticAI
06:33What would Brian Eno’s “Oblique Strategies” cards look for an AI?
06:24LLM Basics Explained Simply: Day 1 of Learning Large Language Models From Scratch
06:24This New AI Architecture Just Outperformed GPT-5. Meet Hindsight
06:05Building a Conversational Document Processing Platform with LLM Tools
06:02You Don’t Need GPT-4: What a 1B–7B Model Can Already Do in 2026
05:58Project Manager Assistant Agent: Automating Project Initiation with AI
05:29Why OpenAI’s Move to Skills Matters If You’re Shipping AI Agents
04:49The End of the “Fast vs. Smart” Trade-off: Meet Gemini 3 Flash
04:46Anthropic rolls back Claude Code changes due to stability concerns
04:42NASA’s People Graph
04:42On Vibe Coding, LLMs, and the Nature of Engineering
04:27The 30% Problem: What LLMs Understand About Software, and What They Never Will
04:20On Vibe Coding, LLMs, and the Nature of Engineering
04:14CLaRa: Apple’s New RAG Framework Achieves 16x-128x Compression While Outperforming Traditional…
03:57Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark
03:39Chat With Your Database for Free: Build a Private AI Agent in Python
03:32Prompt Engineering in the Real World : How I Design LLM Prompts That Actually Work in Banking, AI…
03:28Rate Limit — Cloud Concept
03:27Beyond the Prompt: Architecting AI Agents That Actually Do Things
02:56Otimização Estratégica para LLMs: Reduzindo Custos e Latência com Engenharia de Prompt
02:50Geek Out - Why Enterprise AI Quietly Depends on Ontology
02:47The Knowledge Delta: The Gap AI Keeps Chasing
02:21AI Glazing
02:19From Prompts to Proof : Building Reliable AI with LangChain, LangGraph & LangSmith
02:00NeurIPS 2025 oral: LLM training whole-pipeline perspective
01:54Compression is Intelligence: Two Counter-Intuitive Hypotheses
01:40Physics of LLMs — Understanding How Large Language Models Really Work
01:19Introduction to Google AI: Software, Tools, Models, & Platforms
01:04Show HN: LLM-as-a-Form
00:38Building Apps for ChatGPT with Apollo MCP Server and Apollo Client
00:29The Signal Walker’s Field Guide
00:29The Signal Walker’s Field Guide
00:26VulnLLM-R-7B: The First Reasoning-Centric LLM Built for Vulnerability Detection
00:26Inside v2mini-eval1: Training and Testing a 318M LLaMA-Style Model from Scratch
00:04From Aggregation to Insight: Building an Evidence-Based Review System Using Agentic RAG
Thursday, 2025-12-18
23:38[Boston University / Google / University of Washington / Stanford University] Mull-Tokens…
23:36The Cartographer’s Map
23:29How a NarrativeOS Will Keep Your AI Honest
23:05Making Heretic LLM Future-Proof. Dynamic Auto-Registration for Any New Hugging Face Model
22:46LLM-Interview-Questions-and-Answers: 100 LLM interview questions with answers
22:42Making OpenAI API pipeline-ready with structured output
22:41How Semantic Caching Makes AI Faster, Cheaper, and Smarter
22:19The Great AI Profit Shift: What OpenAI’s For-Profit Move Means for LLMs
22:02All You Need To Know About Retrieval-Augmented Generation (RAG) in 2025
21:37برنامه فول ماساژ برنامه حضوری شماره (خ.ا.ل.ه) تماس بگیرین بوشهر09387543619
21:37Induction Heads Explained: Why LLMs Learn to Copy Patterns
21:30Introducing Demonstrate Mode: For Absolute Precision
21:3010 best AI engineering courses for developers (I reviewed 50 so you don’t have to)
21:23Kagent no Kubernetes: criando agentes de IA para operar e observar seu cluster
20:42Práticas para Otimizar Interações com LLMs
20:35Building Real-Time RAG: Why Kafka is the Architecture of State-Aware LLMs
20:24Gemini 3 Flash
20:09The boomer-doomer divide within OpenAI, explained by Karen Hao
20:02Why Most AI Systems Fail in Production (Even With any GPTs or RAG)
19:41LLMs Don’t Lack Reasoning — They Lack a World
19:37Three AI Agent Architectures Have Emerged
19:31Advancements in Agent OS and NatLangChain Ecosystems
19:27Production-Ready RAG: Optimizing for Latency, Cost, and User Intent
19:21Can Artificial Intelligence Support Prebunking?
19:20Software Development in 60 Seconds: Real-Time Sentiment Analysis
19:13The GGUF Format Explained: Making AI Models Run Anywhere (Even on Your Laptop)
19:04LLMOps for Operational Intelligence: Lessons from Production
18:54Vocabulary Is Architecture
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124