LLM News and Articles

189 of 100
Monday, 2026-01-12
19:40Built with LangGraph! #32: Self-Correcting Code Execution
19:34My 60-Day LLM Challenge: Understanding Deep Learning from the Ground Up (3rd Day) (Pytorch)
19:11The cognitive cost of migrating between LLMs
19:03How AI Is Rewriting Marketing Rules
18:33KI-gestützte IT-Modernisierung
18:23Node.js Partial Response Streaming for LLMs: Early Hints, Chunked JSON, Happy Clients
18:15NodeLLM 1.5.0: Putting Security in the Driver’s Seat
18:05Context Engineering in Google ADK: The Ultimate Guide to Building Scalable AI Agents
17:25AWQ vs GPTQ: A Practical Decision Framework for LLM Quantization
17:24How to Build a Multi-Agent AI System: A Practical Guide
16:48From RAG to GraphRAG: Evolution of Enterprise AI
16:44How ChatGPT and Large Language Models Actually Work ?
16:41The MIT Paper That Quietly Changed How We Run AI Models
16:15Agent Benchmarks Are Measuring the Wrong Thing: Why Valid JSON Is Not Protocol Obedience
16:11Entity extraction using Graphs
16:09All Data and AI Weekly #224–12 Jan 2026
16:04TimeCapsuleLLM: LLM trained only on data from 1800-1875
16:02How To Make LLMs Write Stylishly
15:54Anthropic Says Coding Agents Are Becoming the Universal Everything Agent
15:35Stop Trusting Your Prompts: A Cryptographic Approach to LLM Security
15:33Reranking Isn’t Optional Anymore: The Practical Geometry of Better Search Results in RAG Systems
15:28Best Practices for AI-Assisted Workflow Development
15:20Mastering LangChain: Build Powerful LLM Apps from Scratch
15:17Anthropic Claude Healthcare Solutions
15:13Run your Local Desktop AI Agents at Zero Cost with UI-TARS-Desktop Agents and LM studio
15:12Agent Script: When AI Agents Grow Up
15:05From Imitation to Intuition: The Self-Evolution of AI Reasoning
15:03Why AI Needs a Sense of Caution
14:58Inside Público’s GenAI-Powered Voting Game
13:56Title:
12:40Build a Deep Learning Library from Scratch Using NumPy (Part 4: nn.Module)
12:33From Code to Language Boundaries: The AI We Live By
12:29Life is a Simulation & Humans are LLMs
12:02LLMs, MCPs, and Agents in Decision Intelligence
11:56Multi-Agent Systems: Orchestrating AI Agents with A2A Protocol
11:52BERT helps machines understand the meaning of sentences by looking at all the words together, not…
11:46Most Writing About LLMs Is Useless — And Engineers Know It
11:23Building a Reasoning LLM with GRPO.
11:08How DeepSeek Handles Long Context
11:08RAG vs Long-Context LLMs: A Comprehensive Comparison
11:02LocalGPT
10:57Anthropic made a mistake in cutting off third-party clients
10:57Reading NeurIPS 2025- Nested Learning: The Illusion of Deep Learning Architecture
10:47Be Curt … It’s Okay
10:39How do LLMs affect organic traffic and click behavior?
10:38Stop Obsessing Over Model Size: How Confucius and Falcon Just Rewrote the AI Rulebook
10:29How to Create Content That LLMs Trust, Mention, and Cite?
10:27Where’s my money? An Agentic AI experiment in four parts.
10:24Agentic Burnout
10:19Constitutional Classifiers and their Role in LLM Safety
10:03Mastering Agentic AI Agents: A Progressive Syllabus
09:29Adversarial Attacks: When AI Is Tricked on Purpose
08:32“In-Context Learning”, Synthetic Data and Evaluation Issues: An (Extended) Comment on Recent…
08:14Build a Local Agent System with the OpenAI Agents SDK and Ollama
08:08Build a Production-Grade RAG Pipeline in a Weekend
07:47Quantum Computing for LLM Embeddings: A Deep Dive into Experimental Results
07:43Is AI Really Improving Developer Productivity?
07:41Vector Database vs Graph Database for RAG: Similarity vs Understanding
07:34IQ Is Over.
07:32AI for Code: How LLMs Are Rewriting Development
07:32When AI Agents Remember: Beyond Prompting
07:29Generative AI vs LLM: A Simple Comparison Guide
07:27How to Prepare for the EU AI Act
07:23Types of Language Models in AI: From the Beginning to Modern LLMs
07:23RLHF: Proximal Policy Optimization
07:03LangChain for QA Engineers: How to Test AI Applications Without Being an AI Expert
05:50Why 76% of Researchers Say Scaling Won’t Deliver AGI, And What That Means for the Future of…
04:25Toolformer: Outperforming GPT-3 with 25x Fewer Parameters — The Power of Tool-Augmented Training
04:07AI Updates — January 9, 2026: Speed, Security, and the Rise of Small Models
04:01Prompt Engineering Basics: How to Actually Talk to LLMs
03:49Why a few simple context layers beat fancy vector databases for real conversations
03:47LangGraph vs LangChain — Why Your LLM Works in Demos & Fails at Step 3
03:28All the 2026 Hype AI Terms You Need to Know
03:25Why, How, What: KV Caching
03:22Scaling Up RL: From Q-Tables to Deep Q-Networks (DQN)
03:15Show HN: `tc` like `wc` but for LLM tokens
03:13Are three AI therapists better than none?
03:11Show HN: An LLM-optimized programming language
02:48AutoRAG: The End of Guesswork in Retrieval-Augmented Generation
02:41This simple method will save you 95% in finetuning costs.
02:30I Used ChatGPT and Gemini for a Year at Work: The Unvarnished Truth About Which AI Actually…
02:22From Models to Systems: How AI Engineering Changed in 2026
02:20Gemma vs Gemini: Functions, Deployment, and When to Use Each
02:16Anthropic bans xAI from using Claude in Cursor
01:33Are We There Yet? The Road to Artificial General Intelligence
01:335 AI Research Breakthroughs of 2025 You Can’t Ignore
01:33The Hidden Price Tag on “Bigger” AI Models
01:33From Siri to Jarvis: When Assistants Started Growing Up
00:47After AI, What’s Next? Patent Data Reveals the Technology Quietly Reshaping Industries
00:16The Art and Science of Fine-Tuning Large Language Models
00:04Retrieval as a Design Problem in LLM-Based Systems
00:04Beginner tutorial: uniqueness of LLM inference
00:02The Hidden Architecture: System, Assistant, and Developer Roles
00:02GenAI Concepts mMade Simple: A Human-Mnemonics Guide
Sunday, 2026-01-11
23:48The SIEM Blind Spot: Why Traditional Security Tools Miss LLM Attacks
23:47Defense-in-Depth for AI Agents: Why Input Security Isn’t Enough
23:36Running large language models on small hardware
23:28Beyond the Hype: 5 Foundational Algorithms That Drive Modern Software
23:05Rethinking World Models
23:02Agents Leave The Lab
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