LLM News and Articles

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Monday, 2026-01-26
12:32Langchain4j 101:Giving Your AI Hands: Function Calling with @Tool
12:29Build vs. Buy: Strategic Lessons from Scaling RAG at Tailor Brands
12:05Anthropic Just Built a Competitor to Meta's B Acquisition in 10 Days
11:59RAG Part III: The Intelligence of Retrieval
11:32The Rise of Tripo AI: How Text and Images Are Changing 3D Creation Forever
11:26Artificial Intelligence has a Supply Chain problem
11:08How to Setup Clawdbot on Amazon EC2 Securely with Private Access— Step by Step detailed guide
11:04Introducing GraphRAG: The Trust Layer of the Graphwise Platform
11:01Part 2: How Evaluation Drives Improvement
11:00Show HN: Only 1 LLM can fly a drone
10:49Understanding 3B, 7B, 20B, 80B Language Models: Real-World Examples & Use Cases
10:46From Hours to Seconds: Automating Python Security with AI?
10:30The UX term that might not exist
10:26Small Language Models: The 2026 AI Revolution You Can Actually Use
10:26Building Tool-Driven AI Agents with Google ADK
10:14Finetune Gemma3 using LoRA for Storytelling Chatbot using the IMDB Dataset on Local GPU
08:51GigaEvo: an evolutionary framework for automating ML and LLM-oriented tasks
08:42How Modern AI Systems Actually Handle Context
08:38When the Disclosure Committee Cannot Reconstruct the Record
08:24Lang Lang Lang.
08:22Paper Review: mHC: Manifold-Constrained Hyper-Connections
08:19HERKES İÇİN BİR TUTAM VLM SERİSİ — 7
07:46Production RAG Is Not a Tutorial- It’s a System
07:42The AI Implementation Gap: Three Stages Where Projects Stall
07:40Building a ReAct Agent from Scratch with LangGraph (An E-Commerce Support Use Case)
07:32Goodbye Dependency Hell: Running LLMs Locally with Docker Model Runner (Llama 3 Example)
07:00Death and rebirth of an “untouchable” industry
06:49From Proof of Concept to Production: A Practical Checklist for Deploying AI Agents at Scale
06:48Một vài thuật ngữ và concept quan trọng trong hệ sinh thái Large Language Models
06:48Why LLMs Fail at Document Extraction: 6 Hard-Earned Production Lessons
06:48Why LLMs Fail at Document Extraction: 6 Hard-Earned Production Lessons
06:47The backbone of AI-native teams
06:47The backbone of AI-native teams
06:36Top 10 Large Language Models (LLMs) to Watch Right Now
06:34Demystifying GPT: A Deep Dive into the Future of AI SecurityA 2026 Deep Dive for AI Security…
06:19Modern AI for Software Engineers: Core Concepts - Part 1
06:12Merging Languages, Not Models: A New Path to Faster, Cheaper Multilingual AI
06:12What does tool decorator do ?
06:10How Vercel’s New “Agent Skills” Library can help improve your work flow.
05:43Building an intelligent RAG system: architecture, decisions, and lessons learned
05:00Understanding the Encoder Transformer — A Human Walkthrough From Text to Meaning
04:50LLM System Design Roadmap for Freshers — 2026 Placements
04:48How to Choose the Right Large Language Model (LLM) for Your Needs
04:34How many queries can a 1GW Data Centre handle?
04:32Reliable Agents Don’t “Do Everything”
04:23The Core Engine of Modern AI: A Deep Dive into the Transformer — Encoder
04:17So here we go again…
04:03Observable-Only “No-Meta” Autonomy: A Practical Tour of ONCAP
04:02How to Access GLM-4.7-Flash: High-Performance Efficiency in the 30B Class
03:50Cloudflare-level AI-LLM bot protection, but data is under your control
03:41The Chatbot is Dead. Long Live the Agent
03:21The Right Way to Dockerize LLMs in 2026: Goodbye Fat Containers, Hello Model Runner
03:01Implementing Feedback Management Agent in Agentic Applications
03:00ChatGPT Is Pulling Answers from Elon Musk's Grokipedia
02:52Claude Cowork — The AI Coworker ThatActually Works
02:46Salesforce in 2026: What’s Gaining Ground, What’s Slowing Down, and How Roles Are Evolving
01:31The largest Trump superPAC donor so far this cycle is the president of OpenAI
01:23I Let AI Take Over My Life Pt.2: My 24/7 AI Assistant
01:14Which AI Models Lean in Which Political Direction?
01:12A 26,000-year astronomical monument hidden in plain sight (2019)
00:47Presence Penalty.
00:35Agents Don’t Fail Because Models Are Bad
00:15Introducing MDOCX: A Modern Container Format for the AI‑Powered Documentation Era
00:13A Better Way to Evaluate LLMs: Why “Accuracy” Sucks for Evaluating LLMs
00:13AI doesn’t need to think better
Sunday, 2026-01-25
23:41Building AI Agents: Learn Reasoning and Prompting
23:39The Importance of Being Grok: The Role of Naming in the Emergent Identity of Language Models
23:34Hugging Face Ecosystem: Democratizing LLMs
23:34Alibaba Just Open-Sourced Voice Cloning That Works in 3 Seconds
23:28Why Off-the-Shelf LLM Clients Fail DFIR & SOC Workflows
23:20Is ChatGPT Your Friend or Enemy: You Decide
23:18Taming Giants: Serving DeepSeek-R1–70B Across Dual NVIDIA DGX Spark Nodes
23:17How LLMs Are Revolutionizing AI Search
23:10How I Replicated GPT 2 from Scratch: Part 2
23:10How I replicated a GPT 2 from Scratch: Part 1
22:44ChatGPT's porn rollout raises concerns over safety and ethics
22:20Run Claude Code Locally — Fully Offline, Zero Cost, Agent-Level AI
22:12Beyond Retrieval: The Final Unification of Generation and Embedding
21:27Recursive Large Language Models
21:08StepFun AI Introduce Step-DeepResearch: A Cost-Effective Deep Research Agent Model Built Around Atomic Capabilities
20:40A Coding Implementation to Automating LLM Quality Assurance with DeepEval, Custom Retrievers, and LLM-as-a-Judge Metrics
20:08AI Hallucination Isn’t a Bug. It’s the Cost of Intelligence.
20:07Why is it that AI understands what no human has yet understood?
20:01AI Automation Journey: From L1 Chaos to L3 Precision (Part 4)
19:50Show HN: A Zero-Copy 1.58-bit LLM Engine hitting 117 Tokens/s on single CPU core
19:45Contamination Is Inevitable: How to Measure It Anyway
19:34El nuevo SEO es “matching”
19:28OpenCode & Local LLMs: A Practical Test with GLM-4.7-Flash and Nemotron
19:27“Local LLMs Are Finally Beating the Cloud!” — But Are They?
19:24GenAI LLM Chatbots aren’t Solving the XY Problem. That’s a Problem.
19:21New study disrupts the narrative that ChatGPT's launch triggered a job decline
19:16Extend Your Chatbot with Deep Research Using A2A
19:10Scaling Doesn’t Mean Better Reasoning
19:03What Real Value Agentic System Brings to Business?
18:51Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language…
18:44Social Simulacra and GaiaWM
18:43Why LLM Agents Fail Under Real-World Constraints
18:38What Happens When LLMs Meet Real Users
18:35Sam Altman's make-or-break year: can OpenAI CEO cash in his bet on the future?
17:37How does the Queriy, Key, Value structure work in a transformer?
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124