LLM News and Articles

190 of 100
Thursday, 2025-09-18
23:05Anthropic’s latest research reveals an interesting phenomenon: their AI models have been implanted…
22:01Top 20 LLM Interview Questions
21:26Rethinking LLM Hallucination: It’s Not Magic, It’s Ma….
20:56Why Metadata Extraction is the Unsung Hero of RAG Accuracy
20:27ChatGPT, draw a picture of a parrot in ASCII art
20:2130 incredible MCP servers you cannot miss
19:49Use AI to think, not just to type faster
19:36What is LLM in SEO? The Future of Search Optimization with Language Models
19:32Offloading the Tedious Task of Writing eBPF Programs
19:20Building Smarter AI: Fine-Tuning, Prompting, and Evaluating LLMs
19:18Context engineering: What, why and how to engineer context
18:58Self-Searching LLMs and the End of Google Dependence
18:50LLM tone: Qwen
18:49The shortest AI agent you can build
18:34Cost Management of LLM Token Consumption
17:54The Future Isn’t in the Cloud: It’s Sitting in a Server Rack Near You
16:56Beyond the Title: Understanding Apple’s ‘Illusion of Thinking’ Paper
16:37“I’ll write the unit tests later”
16:19Agentforce Winter ’26 Release Notes — The Funny-ish Summary
16:02When Claude meets Mapbox: A new era of intelligent route planning
15:49How to Choose Between OCR and LLM for PDF Text Extraction
15:45Transformers in AI
15:44Virtual Agent Economies
15:40Launch HN: Cactus (YC S25) – AI inference on smartphones
15:36Introducing the First Public Leaderboard for LLM Watermarking
15:31Show HN: Mocky AI, Preview LLM use cases in minutes without an MVP
15:15Graph of Thoughts: How AI is Learning to Think Like the Human Brain
15:10Guided Autonomy: Progressive Trust Is All You Need
15:05When AI Begins to Deconstruct Humans: A Cognitive Battle Over the Essence of ‘Understanding’
15:01LAI #93: Smarter Model Choices, Multi-Agent Systems, and Cutting Through AI Noise
14:54Tree of Thoughts: How AI Learns to Think Strategically — Like a Chess Master
14:35The End of “Traffic is King”
14:27Chain of Thought: Making AI Think Step-by-Step
14:25Qué son los LLM para Maol (y cómo transforman nuestra forma de trabajar)
14:16An Autonomous AI Financial Analyst with a Local LLM to Automate Reporting
14:11The Evolution of AI Workstations: Why Owning GPUs Is Like Buying a Second-Hand Tractor
14:06A Strategic Data Science Guide to LLM Training Curricula
14:06Beyond GPT vs. BERT: A Data Science Guide to LLM Objectives
13:56The Drift of Meaning in a World Optimized for Speed
13:34Agents That Stay on Target: How Semi-Online Learning Taught AI to Solve Multi-Step Tasks
13:29Inside the Magic Box 2 : Causal Attention and Multi-Head Attention
13:22Agentic AI Is Coming for Your Job… But That Might Save Your Career
12:51Chapter 2 — Tokenization: Breaking Language Into Lego Bricks
12:48LLM-based Code Reviews for Enforcing Architecture Patterns
12:35AI Infrastructure Setup for Local LLMs (September 2025 Edition)
12:27The 100 Most-Cited AI in Medicine Papers: What They Tell Us About the Future of Healthcare
12:24Meta’s Toolformer Explained: When Language Models Learn to Think with Tools
12:24Your AI Scored 4/5 on “Helpfulness” So Why Are Your Users Furious?
12:10Building a Transcript Summarization Agent with Google ADK and Vertex AI for Call Centers
11:57From Firefighting to Self-Healing: How HyperAutomation is Redefining IT Operations
11:41Understanding the MCP Lifecycle: From Initialization to Shutdown
11:31KV-Cache Tactics: Paging, Pinning, and Reuse in Prod
11:26A Guide to Augmented SBERT: Boosting Performance with Limited Data (with Code)+Bonus Techniques
11:24The Quantisation Journey: Microsoft’s BitNet Revolution, ultra-efficient AI
11:23I Built Agents Before It Was Cool. Now Here’s the Playbook I Wish I Had
11:19The MLOps Playbook for LLMs: How to Serve Agentic Applications at Scale
11:13How Should AI Systems Behave — and Who Decide?
10:51A Complete Guide to New GPT-5: Features, Tests, Benchmarks, and More
10:43Designing AI That Doesn’t Break
10:43The New Playbook for AI Alignment in Data Science
10:26Virtual Humans — 6 Years On
10:22Sınıflandırma: Tahmin Yanlılığı
10:22Mantıksal Regresyon: “Evet mi, Hayır mı?” Sorularının Çözümü
10:21Doğrusal Regresyon: Verilerin Dostu
08:55Building a LangChain SQL Agent From Scratch
08:41GeoAI: How GraphRAG Unlocks Complex Geospatial Knowledge
08:35Retail & E-commerce in the Age of AI Search: Dominance, Decay, and Regional Friction
08:305 Convincing Reasons Python Outshines Every Other Programming Language
08:30Forget Chatbots: Why Autonomous AI Agents Are About to Reshape the Modern Workplace
08:27Building an Intelligent Agent: The Morpheus Architecture (Part — 1)
07:43LLM Part 1 Coding Companion: Training your own base LLM
07:39This AI Learns Like a Human Intern — A New Approach That’s Making GUI Automation Actually Work
07:34N8N overview with cons and pros
07:32Prompt Engineering Techniques: A Practical Guide for Beginners and Experts
07:318 Chain-of-Thought Prompts That Improved My AI Reasoning
07:3110 Prompt Patterns That Work Across Models
07:31Alibaba Releases Tongyi DeepResearch: A 30B-Parameter Open-Source Agentic LLM Optimized for Long-Horizon Research
07:24LLM Part 1 Coding Companion: Training your own base LLM
07:13Edge or Cloud? How Self-Hosting LLMs Can Actually Save Your Privacy
07:05How a Simple AI Workflow Saves a Law Firm 20 Hours Per Week
07:05Meta Launches Streaming Aggregator Horizon TV on Quest Headsets
06:56From Vague to Value: A Guide to Effective Prompt Engineering
06:48Azure AI Foundry — Service Creation Error
06:14Behind the Spark: Why Brevity Holds More Meaning
06:04How OpenAI Codex Works Behind-the-Scenes (and How It Compares to Claude Code)
05:36Beyond Asyncio: Exploring Python’s Hidden Concurrency Models
05:31LangGraph Mental Models: Agents That Don’t Loop
05:29Deterministic AI: How Same Input, Same Output Changes the Game
05:12The Small thing about Large language models
05:10The BIG thing about Small language models
05:03A practical, code-rich exploration of how autonomous agents powered by large language models are…
04:54MCP “Connecting AI ”: How AI Learns to See, Hear, and Act in the Real World
04:06Feeding the Beast: What It Really Takes to Train Gen AI like GPT-5
04:01Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
03:58Tokens: The Currency of LLMs
03:57AgentScope: Alibaba’s Open-Source Framework for Building Multi-Agent Apps
03:41What is Quantization and Why Does It Matter in AI?
03:31Top 5 Data Minimization Patterns for Safer Prompting
03:21What Are LLMs? All the Fundamentals You Should Know
03:10Why LLMs Hallucinate: How to Reduce It
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124