LLM News and Articles

150 of 100
Sunday, 2026-01-25
15:43Visualizing the Brain of AI: A Deep Dive into Training Architectures
15:41O quanto do poder do Claude é real e o quanto é hype?
15:30## Introducing AI Progress Controls
14:59Selara AI CTF Challenge — January 2026
14:33Foundation Models /LLMs for Time Series Forecasting
14:32AI Automation Journey: From L1 Chaos to L3 Precision (Part 3)
14:28PydanticAI Python Tutorial: Typed LLM Responses for CrewAI Agents (OpenAI + Real Code)
13:40Can mBART Translate Roman Nepali with Just 500 Examples?
12:42Are Uncensored AI Models the Future We Need — Or a Pandora’s Box We’ll Regret?
12:37The Problems Nobody Tells You About Running Llama 3 in Rust (And How I Fixed Them)
12:32How to Set Up Clawdbot — Step by Step guide to setup a personal bot
12:26The Magic of @AiService: Declarative AI in Java
12:07World Models, Language, and the Architecture of Understanding
12:05The Ladder to Nowhere: How OpenAI Plans to Learn Everything About You
12:04Vector Database vs Graph Database for RAG: Why Similarity Isn’t Always Enough
11:57The Architecture Mismatch at the Heart of Modern AI
11:53Beyond Prompt Injection: Welcome to the Era of Promptware
11:51State of the Art RAG
11:50The AI Boom Is Turning Into Plumbing (and the Leaks Are the Point)
11:47Google Takes a Hard Line on AI Hallucinations: LangExtract Hits 22k Stars with “Evidence-Based”…
11:40Dummies introduction to AI engineering at Scale : Part 1
11:25From Inference to the Axis Mundi
11:22How Tokenization, Embeddings & Attention Work in LLMs (Part 2)
11:17Mally — your ally for memory, powered by AI
10:54Why Tomorrow’s LLMs May Need a Memory Layer
10:05Designing a Local-First LLM Evaluation System
09:25From –k to 0k in a year. My LLM options trading experiment
08:45Why LLMs Struggle With Real Databases (And How to Fix It)
08:29The Context Problem: Why More Information Doesn’t Always Mean Better AI
08:18Capturing UI Interaction: Small models, big results
08:17The 67 Million Parameter Problem: How a Simple Linear Algebra Trick Made Giant LSTMs Actually…
08:16PagedAttention: The OS Trick That Made LLM Serving Scalable
07:47ChatGPT vs Perplexity: I Used Both for 30 Days — Here’s the Winner
07:45Redis Semantic Caching: Cut Your LLM Costs by 80% With Smarter Cache Hits
07:33Part1: Learning Transformers from the Ground Up
07:25Fine Tuning LLM with LoRA
07:18Part 1: Building a Scalable Multi-Agent Architecture
07:13Are Multi-Agent Systems Really Better?
07:08Show HN: Lumina – Open-source observability for LLM applications
07:07The Limits of LoRA: Why Local Fine-Tuning Can’t Improve “Computational Ability”
07:02When Microslop Yelled at Copilot to Shut Up
06:51 Clawdbot AI Is Replacing ,000 Virtual Assistants
06:46LLM & Conspiracy Theory
03:32Prompt Engineering: A Practical and Conceptual Overview
03:32The Hidden Math Behind LLM Caching: Semantic Keys, Collision Risk, and When “Reuse” Breaks…
03:21Seeing AI Models Clearly: Power, Design, and Use
03:02Building a Retrieval-Augmented Generation (RAG) System to Talk to Your Documents
02:57OAGI Explained: Why Some People Think We Should Raise AI Minds Instead of Just Training Models
02:48Challenges and Research Directions for Large Language Model Inference Hardware
02:33OpenAI's GPT-5.2 model cites Grokipedia
02:32MIT Just Proved the Case for Governed AI Orchestration
02:21LLM Scaling laws and their relevance in 2026!
02:17Differential Transformer V2 Changes the Attention Game.
01:37What is Microsoft Fabric? The Framework thats redefines Enterprise AI
01:31The Definitive Guide to ChatGPT Understanding the AI Revolution
00:576 Common LLM Customization Strategies Briefly Explained
00:47AI Friends: Helpful or Harmful?
00:09Why Agentic Workflows Are the Real Breakthrough in LLM Systems
00:04The Hidden Engine of AI: Cracking the GPT Tokenizer
Saturday, 2026-01-24
23:48Audit-Ready AI: Implementing the EU AI Act with Local Guardrails and Langfuse
23:41Next-Gen Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration
23:19How I Built a Local Uncensored AI Stack for Red Teaming in 2026 (Full Guide)
23:17Insights about Switch Transformers Paper
22:50I Built a Python Library to Strip Sensitive Data From My Training Sets — Here’s What I Learned
22:37Musk vs. Altman
22:32Introducing MindBalancer: The ProxySQL for AI
22:29Prompt Injection Is Not an AI Problem It Is a System Design Problem
22:16The Testing Gap Nobody Talks About: Why Your LLM Agent Probably Doesn’t Work As Well As You Think
22:13PLAN-AND-ACT: Improving Planning of Agents for Long-Horizon Tasks
22:08AWS Bedrock Explained: Your Gateway to Building AI Apps Without the Headaches
22:08I Built the Same Agent Three Times and Each Framework Lied to Me Differently
22:07Intrinsic Alignment: A Proposal for Self-Orienting AI Through Geometric Ethics Raffaele Spezia…
22:06Altman, Bezos and Zuckerberg donate to Trump's inauguration fund (2024)
21:43AI Fundamentals Part 1: From “Smart machines” to the magic of LLMs
21:32Assessing the Reliability of Large Language Models in Reporting Sports Results
20:54Claude Code configured the DNS for this website
20:24Why LLMs Are Cognitively Overworked: The Catastrophic Cost of Never Sleeping
20:19From PDFs to Actions: Building a Document Intelligence Automation Workflow with GenAI + n8n
20:15High-Coherence Interaction State, Part IV: How to Recognise It (and When It’s a False Positive)
20:05Why AI Fails the Moment It Leaves the Demo
19:57Context Is Not Memory
19:41How do LLMs treat “Forbes” as a source?
19:12JSON-render: LLM-based JSON-to-UI tool
19:10I Tested the Best Copilot Alternatives for VS Code
19:01LLM vs LMM: Why AI is Shifting From Text to Multimodal
18:51I Let AI Upgrade a Real Enterprise Angular App to v21. Here’s What Actually Happened.
18:47Uipath’de LLM Kullanımı
18:29VLA+ Models: When Artificial Intelligence Moves from Talking to Acting
18:26The Claude Code creator says AI writes 100% of his code now
18:06Why Your RAG System Fails on Technical Documents (And How to Fix It)
17:54I Built a RAG System That Actually Understands Documents (And You Can Too)
16:18Ordering Food with AI: My First Zomato Order Using MCP and Claude Desktop
16:13Introduction to Data Parallelism and CUDA
16:11Responsible AI on AWS: Implementing Guardrails, Content Filters, PII Protection, and Grounding with…
16:11Responsible AI on AWS: Implementing Guardrails, Content Filters, PII Protection, and Grounding with…
16:02The 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models
15:44Supercharge Your AI Assistants with MCP Servers
15:43ArXiv preprint server clamps down on AI slop
15:42LLMs não escolhem palavras
15:41KV Cache in LLM Inference
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124