LLM News and Articles

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Tuesday, 2025-12-23
18:40The RAG System Engineering Series: Part 4 — Safety, Governance & Optimization
18:37Understanding LLMs and the LangChain Universe: From Models to Real Applications
18:34LSP, Hooks, and Workflow Design: What Actually Differentiates AI Coding Tools
18:29Why My AI Changed: On Persona, Tone, and Truth in Language
18:22Local e-ink handwriting recognition with on-device VLMs
18:16I used RL fine-tuning to make an LLM generate ugly and unpythonic FizzBuzz code
17:59Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Structuring
17:59Storytelling Through Feature Engineering: Lossy Compression for Language Models
17:54They Don’t Know WTF Is Going On!
17:36✨ Starting 2026 with a builder’s mindset ✨
17:16DeepSeek-V3 Python Tutorial: Fine-Tune an Open LLM Locally (Hugging Face + 8GB GPU)
16:42The LLM’s Resource Layer
16:34MCP’s biggest impact
16:29Turning Simple Chatbots into Smart, Self-Correcting Agents: Understanding LangGraph in 5 Minutes
16:29Turning Simple Chatbots into Smart, Self-Correcting Agents: Understanding LangGraph in 5 Minutes
16:14Fei-Fei Li’s Latest Interview: Skills Matter More Than Degrees in the AI Era
15:52Continued Pre-Training (CPT), the Future of Fine-Tuning for Domain-Specific AI?
15:42LLM Inference Performance Benchmarking from Scratch
15:38Tips & Tricks: Parallel Tool Calling in ADK
15:09How to Build a Self-Healing RAG System with LangGraph to Detect Bad Retrieval, Rewrite Queries, and…
15:07Beyond Bias: The Hidden AI Risks Your Team Is Still Overlooking
15:07TAI #184: Gemini 3 Flash is 3x Faster and 4x Cheaper than Pro and even wins on some benchmarks
15:06The Inertia Trap: Why AI Assistants Remember Brands but Stop Choosing Them
15:05Part I | Understanding the Engineering Roots of LLM Hallucinations
15:04DeepFEP:MOSS AGI Architecture
15:02How an code editor decide the right moment to show an LLM-generated code suggestion
14:45"Could ChatGPT Do This Overnight?" If Yes, Redesign It
14:40Beyond RAG: How CLaRa Makes Retrieval and Generation Think in the Same Space
14:07AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
13:51Overfitting Explained Using Code (Not Theory)
13:37LoPA: Scaling Diffusion LLM Single-Sample Throughput to 1000 TPS
13:16She Fell in Love with ChatGPT. Then She Ghosted It
12:42Building an Autonomous Supply Chain: An Interactive Guide to Multi-Agent Demand Planning with…
12:32Python + FastAPI Microbatch Endpoints: LLM and Vector I/O That Survive Spikes
12:29Complete Digital Reputation & Visibility Solutions by Reputn
12:04Upskilling for 2026: Why Agentic AI Training is Crucial for IT Professionals in Hyderabad
12:02NeMo Guardrails: Putting the “Responsible” in AI
11:54Stop Building “Agents.” Start Building a Skills Library (and an Agentic Operating Layer)
11:48AI in the Classroom: A Powerful Tool or a Growing Academic Risk?
11:42The Thing That Severs the ‘Single Thread’
11:40How the World’s Youngest Self-Made Billionaire Built a .3B Empire—and How You Can Do It Too
11:35From Gherkin to Self-Healing Tests: Building an AI-Driven Playwright Framework
11:25Why Some AI Models Talk, and Others Actually Help
11:21The Billion Question Nobody’s Asking About AI
11:11Beyond the Hype: Six Surprising Truths Shaping the 2025 Open-Source AI Revolution
10:57Well Fusion
10:00Pourquoi les LLM nous obligent à repenser l’observabilité logicielle
09:52How I Built a Reliable Text-to-SQL AI Agent: A Step-by-Step Guide
09:32AI Gateways Explained: The Infrastructure Layer Most AI Teams Discover Too Late
09:28The 3‑Stage Training Pipeline Behind ChatGPT, Claude, and Gemini (Explained Simply)
09:24Your own private, personal AI, for free!
09:19The Future of AI Browsing: How Atlas Will Reshape SEO, SEM, and Content Discovery
08:42Self-Hosted Agentic RAG: Your Personal AI Document Assistant That Keeps Your Data On Your Machine
08:01From Single QA to Block Masking: Lessons from Fine-Tuning an LLM for Noun Extraction
07:47The Next Phase of AI Will Not Be Smarter: It Will Be Accountable
07:36Why AI models cant understand images clearly still today?
07:327 ML Quantization Wins (INT8/FP8) Without Freefall
07:327 Retry & Timeout Policies for Flaky LangChain Tools
07:25Hybrid Testing: Real APIs, Fake Users, and AI in the Middle
07:02LLM (LARGE LANGUAGE MODELS): NASIL “DÜŞÜNÜRLER” VE PROMPT NEDEN BU KADAR ÖNEMLİ?
06:47How AI Customer Service Is Redefining Business Support in 2026
06:45The LLM is Now a Project Manager: Why Asynchronous Thinking is the Future of AI Reasoning
06:39Teaching Language Models to Stay Inside the Lines
06:15The Complete Guide to Model Fine-Tuning
06:04The Engineering Guide to Industrial-Grade LLMOps-Part-2
04:56Why Web Agents Fail — and How Semantic Geometry Helps Them Execute
04:55Can AI discover something new that humans don’t know yet?
04:43Day 15: 21 Days of Building a Small Language Model: RMSNorm
04:39Virtual-Meta Telemetry for No-Meta Agents: A Researcher-Focused Explanation
04:39Google DeepMind Researchers Release Gemma Scope 2 as a Full Stack Interpretability Suite for Gemma 3 Models
04:02Your AI Is Lying to You — And Knowledge Graphs Are Why
04:00Bigger Models Didn’t Win. Better Retrieval Did — Advantages of Retrieval-Augumented Generation
04:00How Entrepreneurs Use The K Growth Consultant AI Prompt (And Growth Consultant Pro) For Scalable…
03:32How Enterprises Are Cutting LLM Costs by 70% with Multi-Model Routing: A Complete Guide
03:32When Prompts Are Not Enough (Part 3)
03:28Turn Any Autoregressive LLM into a Diffusion Language Model (With Minimal Compute)
03:24Prompt Caching: Why Cached Tokens Are 10× Cheaper and Faster
03:21Agentic AutoReel Factory: Turn Reddit Stories into Scroll-Stopping Shorts With AI
02:50Building a Tool-Driven Multi-Agent Swarm with LangGraph: When AI Agents Work Together
02:40Intuition of Model Context Protocol(MCP)
02:32When an LLM Trained in Space, AI Quietly Escaped Earth
02:17I/O-First Energy Reduction for LLM Inference & Training (IGSK: Enforceable I/O Budgets)
02:10Why Your Best Prompts Still Fail (And What Advanced AI Users Do Instead)
02:05[Part 1] Designing a Workflow-Oriented Architecture for Document Processing in 2025
00:32Are Small Language Models the future?
00:26Google Gemini 3 Deep Research Course For Business Automation
Monday, 2025-12-22
23:59Interactions API + ADK: A Closer Look
23:52Let Them Sleep: Adaptive LLM Agents via a Sleep Cycle
23:30Unravel Agentic Business Automation with LLM Directive Orchestration Execution (RAW)
23:12TiDAR Explained: What I Learned from a Model That Thinks in Diffusion and Talks in Autoregression
22:56It’s Not Just One Bias: Inside the Intersectional Blind Spots of LLMs
22:32The LLM design flaw I freaked out about is actually the intended design
22:26What I Learned from FlashEVA: Why Efficient Attention Matters More Than Bigger LLMs
22:21[OpenAI] Monitoring Monitorability
22:15All Data and AI Weekly #221–22Dec2025
21:45Learning Arabic Online: What Actually Works (And What’s a Waste of Time)
21:15The Best Abliterated LLMs for Raw NSFW Storytelling in Late 2025
21:10Complete MITRE ATT&CK MCP Server
20:55Past of Goal-Guided Conversational AI Models(5)
20:47Cutting AI Costs Starts With Better Prompts
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124