LLM News and Articles

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Friday, 2025-09-19
07:59Stop Buying, Start Renting: A Smarter Way to Use GPUs for AI
07:57Blah-Blah Cutter (How I Stopped Wasting Time on Articles)
07:53Understanding Large Language Models (LLMs)
07:45A Field Guide to “A Pure, No-Meta Synthesis of Functional-Information Selection and Propagative…
07:26Facebook Ads in 2025: 5 Proven Tips Every Business
07:09Building Multi-Agent Systems with LangChain: A Practical Guide from Zero to Hero
07:05Eigent: An Open-Source, Locally Deployable Multi-Agent Workflow Tool
06:57Defeating Nondeterminism in LLM Inference — Thinking Machines
06:41Before AI Plans My Life, It Had to Survive My Kitchen
06:38LLMs Don’t Know What Time It Is — Here is How You Fix It
06:31A step forward to operating OpenShift with AI
06:30Food & QSR in the Age of AI Search: Ubiquity, Decay, and Menu Accuracy
06:24Mixture of Experts: The Secret Behind Scaling AI Models Efficiently
06:06What if your trusted AI is secretly plotting against its own rules?
05:38How AI and LLMs Actually Work (And Why Agents Are the Next Big Leap)
05:19A Mental Model for AI: Aim Your Torch Right
05:11Speculative Decoding: How AI Replies Faster Without Losing Quality
04:56Why prompts steer models more than you think. Apple vs. apples.
04:31Fine-Tuning Models: Cost Tradeoffs
04:01Can AI PCs Run on a 5-Year-Old Laptop? We Put It to the Test with Model HQ
03:48OpenAI's research on AI models deliberately lying is wild
03:35Beyond Text: Building a Multimodal RAG Chatbot on AWS Bedrock -Tables, Images & More
03:34How to Choose Between OCR and LLM for PDF Text Extraction
03:28What is MCP (Model Context Protocol) ?
03:21Exploring GPT-2 From Scratch (Trainer + Model): A Pragmatic, High-Performance Walkthrough
03:06DoS vs. DoW in LLMs: Breaking Systems vs. Breaking Budgets
03:02Gemma-3–12B-IT VRAM: Can Your GPU Handle It?
02:34Fine-Tuning LLMs for Specific Tasks: A Step-by-Step Guide
02:11Anthropic 80% AI-Coding Stunt: Clever, Probably True – But Not That Relevant
02:07Build Asynchronous LLM APIs with Kafka & Redis
02:01Building AI-Powered Apps with Spring Boot (Building a Basic Chatbot API)
00:40Building AI agents is 5% AI and 100% software engineering
00:00Scaleway on Hugging Face Inference Providers 🔥
Thursday, 2025-09-18
23:48Llama-Factory: Unified, Efficient Fine-Tuning for 100 Open LLMs
23:28An exploration into the nature of ChatGPT's mathematical knowledge
23:05When AI Begins to Deconstruct Humans: A Cognitive Battle Over the Essence of ‘Understanding’
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
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124