LLM News and Articles

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Thursday, 2025-12-18
22:02All You Need To Know About Retrieval-Augmented Generation (RAG) in 2025
21:37برنامه فول ماساژ برنامه حضوری شماره (خ.ا.ل.ه) تماس بگیرین بوشهر09387543619
21:37Induction Heads Explained: Why LLMs Learn to Copy Patterns
21:30Introducing Demonstrate Mode: For Absolute Precision
21:3010 best AI engineering courses for developers (I reviewed 50 so you don’t have to)
21:23Kagent no Kubernetes: criando agentes de IA para operar e observar seu cluster
20:42Práticas para Otimizar Interações com LLMs
20:35Building Real-Time RAG: Why Kafka is the Architecture of State-Aware LLMs
20:24Gemini 3 Flash
20:09The boomer-doomer divide within OpenAI, explained by Karen Hao
20:02Why Most AI Systems Fail in Production (Even With any GPTs or RAG)
19:41LLMs Don’t Lack Reasoning — They Lack a World
19:37Three AI Agent Architectures Have Emerged
19:31Advancements in Agent OS and NatLangChain Ecosystems
19:27Production-Ready RAG: Optimizing for Latency, Cost, and User Intent
19:21Can Artificial Intelligence Support Prebunking?
19:20Software Development in 60 Seconds: Real-Time Sentiment Analysis
19:13The GGUF Format Explained: Making AI Models Run Anywhere (Even on Your Laptop)
19:04LLMOps for Operational Intelligence: Lessons from Production
18:54Vocabulary Is Architecture
18:39The Unit Economics of Virality: How We Scaled Gemini 1.5 Pro to 50k Users Without Going Bankrupt
18:38Why a Simple Emoji Confuses ChatGPT
18:36Beyond GPT-5: How an Open-Source AI Achieved Elite Performance by Breaking All the Rules
18:26How is DeepSeek 3.2 Cutting Costs by 25x By Re-Evaluating Attention?
18:14GPT-5.2-Codex
17:57How We Built a Custom RAG Pipeline to Generate Metadata Automatically
17:56Large language models are transforming how we build applications, but their computational costs…
17:50Make RAG Multimodal — Keep Text & Images in Sync for Accurate Answers
17:31The New Frontier: 5 Architectural Patterns Emerging in the Age of AI and LLMs
16:49RAG Alone Is Not Smart Enough: Why You Still Need GANs
16:39Has Marketing Shifted from Google to ChatGPT?
16:31Machine Learning
16:303/15 The Integration Trap: Why Your Agent Codebase is a Mess
16:25GraphRAG Demystified: Boosting Retrieval-Augmented Generation with Knowledge Graphs
16:17Speed vs. Smarts? Google’s New Gemini 3 Flash Says You Can Have Both.
16:15A Guide to Prompting Techniques for Large Language Models (LLMs)
16:15Why Your RAG System is Failing: 3 Common Retrieval Pitfalls and How to Fix Them
16:12Payload Shape Injection: Deep Dive & LLM-Augmented Exploration E2
16:02The Enterprise Data Kitchen
16:02FileMaker Prompt Engineering 101
16:02AgentCore #04: Gateway; The Production Bridge Between AI and MCP (No Hype)
15:58Evidence-Based AI for Lab Result Interpretation
15:55AI in Education: A Hard Conversation We Need to Have
15:46Streamlit + Akshare + Ollama + Plotly = Intelligent Trading Platform
15:43AI, LLMs and Software Engineers
15:40Are Robots.txt Instructions Legally Binding?–Ziff Davis vs. OpenAI
15:38Designing Novella: Building an MVP for AI-Driven Fiction Summarization
15:36Optimizing Content Aggregation: From LLM-Based Grouping to Vector Similarity Search
15:35Inside NVIDIA’s Nemotron-3: Mamba + Transformer + MoE and 1M Token Context
15:13Multi-Layered Agentic Memory Management with LangGraph
15:106 Reasons Why SEC Data Is So Hard for RAG Engineers
15:06Autonomous Agent: Part 1
15:02LAI #106: Choosing the Right Shape for AI Systems
15:01Mistral launches OCR 3 – 74% win rate over OCR 2
15:00Ministral 3 vs Others: Accuracy, Token Efficiency, and the Best Model per Budget
14:523/15 The Integration Trap: Why Your Agent Codebase is a Mess
14:51Vector Index vs Vector Database: The Scaling Mistake That’ll Cost You Your Idea
14:24The Mathematics behind Artificial Intelligence and Large Language Models
13:09Microsoft Copilot Studio vs.
12:48The Most Dangerous AI Answers Are the Ones That Sound Correct
12:32The Economics of Decentralized LLM Inference: Disrupting OpenAI’s Pricing Model
12:31The Hidden Process Behind Every AI Answer
12:30Top 7 Multilingual LLMs Powering Global AI Innovation
12:03Is ChatGPT Conservative or Liberal?
12:02LLMOps Is Not MLOps: Why Your LLM Demo Broke in Production (With Real Examples)
11:56NVIDIA’s Open-Source AI Push: From Smarter Language Models to the Rise of Physical AI
11:53Introducing the Takens-Based Transformer
11:51Everything about Model Inference -3.Model Compression
11:35An Appeal to Fellow Technologists and Educators
11:29The Engineering Guide to Industrial-Grade LLMOps
11:02PDF Chaos to Structured Insights with Gemini File Search
11:00Summoning Without the Genie: The Hidden Cost of Blind Trust in AI Assistants
10:32Agentic AI in the Field: How Local Models Empower People, Not Replace Them
10:25AI Visibility and Enterprise Governance: A General Counsel and Board Perspective
10:19Autoscaling the AI Subway
10:14From Raw Internet Data to a Large Language Model — Part 2
09:48What Is llms.txt and Why Ecommerce Sites Are Adopting It
09:15RAG VS AGENTIC AI
09:13Beyond Capability: The Risks Modern AI Labs Systematically Avoid Naming
09:03The Enterprise AI Reality Check: What Microsoft’s Copilot Struggles Tell Us About the State of…
08:45Why I’m Paying Attention to Gemini Image Models and Why Nano Banana Pro Changes the Conversation
08:32Probabilistic Engineering: Respect the Unreliable
08:26Nemotron 3 Nano: Why This “Small” Model Might Be the Most Practical AI You’ll Actually Use
08:16Interleaved Thinking in LLMs for LLMs
08:01A Natural-Law Occam Principle for Predictive Agents (Scientific Explainer)
08:00AGI is not an independent machine – it’s the connection between you and it. (1/3)
07:57Think Like an LLM: How AI Understands Your Prompts (Beginner Friendly)
07:57ChatGPT 5.2: Unmatched AI Evolution — How It Surpasses Previous Models
07:222026 Will Be Brutal for Legacy Tech. AI-First Platforms Will take the Throne
07:06Persistent Memory for LLMs: Designing a Multi-Tier Context System
07:05The Anatomy of a Lean AI Model: Your Fine-Tuning Masterclass for Exponential Growth
07:04Vector Databases vs. Knowledge Graphs: The Rise of GraphRAG
06:59From RAG Pipelines to Agentic Systems: Practical Lessons from RAG Implementations
06:50Deep-dive | Semantic Layers Translate — Ontologies Reason.
06:20Day 10: 21 Days of Building a Small Language Model: KV Cache
06:15[Masterlist] A Proxy User’s Masterlist of AI Chat Platforms
06:00I Simulated Plato’s Ideal City with AI Agents. Here’s What Happened.
05:15We’ve Been Thinking About “Context” All Wrong
05:01My Journey into the World of Large Language Models
04:37What I Learned Building a Real-Time Streaming Interface with Structured Output
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124