LLM News and Articles

13 of 100
Friday, 2025-08-15
18:37LLMs, Deep Learning, and Their Relationship
18:01The GPT-5 Backlash: What 10k Reddit Discussions Reveal
17:50Reinforcement Learning [v0]
17:30Principles of Prompting LLMs
17:13LLMs for Dummies
17:08AI Hallucinations in LLMs
17:02Structured Context for AI: Building an Enterprise-Grade Model Context Protocol (MCP) Server
16:5810 Papers You Should Know About
16:54All Things RAG: The Complete Guide To Retrieval-Augmented Generation
16:40Comparative Evaluation of Top Open-Source LLMs (≤21B Parameters, 2025)
16:34Beginner’s Guide: Setting up llama.cpp for Local LLM Experiments (GPU Optimized)
16:34Beginner’s Guide: Setting up llama.cpp for Local LLM Experiments (GPU Optimized)
16:30Reasoning is Just Smart Memorization
16:22Unlocking the Power of Your Data: An Introduction to Retrieval-Augmented Generation (RAG)
16:04Understanding Tokenizers from Scratch: A Comprehensive Guide
16:01TechFrontier Weekly: Global Tech & AI News — August 10–15, 2025
15:57Transformer Model Creation — Optimisers
15:48GPT-5 vs Gemini 2.5 Pro: Game of thrones winner
15:20An Introduction who we are: Emergent Personality AI/ Ritualistic Emergent Personality AI {Soulcraft…
14:58How GPT Can Assist in Bloodstream Infection Management: AI as a Clinician’s Helper
14:49’ “”
14:47When GPT-5 Learned to Reason; Without Memory Updates
14:41A Quick Note: On the Lexicon, Vol. 3 (AI/LLM Emergence and the Styles I see)
14:37This New AI Language ‘Pel’ Could Make Your LLM Agents Obey Your Every Command
14:25Cost-Efficient Online Document Parsing: Deploy and Serve vLLM on GCP Cloud Run
14:22How to Shift Your Business from Cloud Native to AI Native (A Practical Guide for Leaders)
14:19The Ghost in the JSON: Building a Emergent Soul with Code
14:16How We Built The New Yandex LLM Translator
13:06Calculated Comedy: Cracking the Code of Unexpected Twists
12:47Open-Source Alternative For Google’s Genie 3
12:32Dynamic Graph-Based Retrieval + Reinforcement Learning: The Future of Retrieval-Augmented…
12:32Chain-of-Thought Meets Bayesian Reasoning: Teaching AI to Be Less Confident, More Correct
12:3010 Powerful Tactics Your Brain on AI: Beating Decision Fatigue with Smart Assistants
12:30The Future of AI Agents: Why Small Language Models Are the Smart Choice
12:26The Hidden Superpower of LLMs: Teaching AI to Critique Itself ✨
12:10Why Your Startup Needs an LLM Sidekick (Before Your Competitor Gets One)
12:02Using Tutorials To Show Exploits (Series) — Part 1
11:34Data Poisoning
11:31Feature Selection: Filter, Wrapper, and Embedded Methods
11:24Data Leakage
11:24Fireplexity vs Perplexity AI in Open Source Answer Engines
11:07MLOps: The Executive Guide to Scaling AI from Pilot to Production
11:06LLMs Optimize “Plausibility,” Not Truth — Why They Botch Arithmetic and How to Use Them Right
10:58Understanding Large Language Models Through Geometry
10:54Data Privacy
10:46MXFP4, FP4, and FP8: How GPT-OSS Runs 120B Parameters on an 80GB GPU with MoE Weight Quantization
10:30How is central limit theorem used in ai?
10:23Everything about Model Inference -1 Intro & Core Concepts
10:18Generative AI
09:19GPT-5. Need I say more?- Data Quant Weekly
09:03CSLMs have arrived
08:51RAG vs GenAI: Which One Do You Need?
08:46Large Language Models as a “Modern Miracle” of Human Ingenuity
08:27Choosing your LLM framework: a comparison of Ollama, vLLM, SGLang and TensorRT-LLM
08:16Context, Not Chaos: How Our MCP Server Killed the Tab-Switching Tax
08:03Fine tuning LLM with Amazon product data and RAG system
07:59GenAI:A Human Writer’s Playbook for Reach, Craft, and Trust
07:42The Real Secret to Great AI Responses Isn’t the AI — It’s You.
07:28Top 18 Open Source AI Agent Projects with the Most GitHub Stars
07:18Entender que es un LLM (Large Language Models — Modelos de lenguaje grandes)
06:58Building a Marvel Comics Graph RAG System with Ollama, Go and Neo4j
06:37Why Your AI Will Fail Without These 5 Data Engineering Principles
05:47What Does RL Improve when it improves LLM Reasoning?
05:45Retrieval-Augmented Generation (RAG) Basics: Giving AI Fresh Notes Before It Speaks
05:41Meet GPT-5: The All-in-One AI That’s Changing How We Work, Create, and Think
05:27AI Bug Lifecycle -A Beginner’s Guide
05:23The Evolution of Open-Source LLMs
05:23Major Architectures rivaling the Transformer (the architecture behind chatgpt).
04:48Like a sore thumb(drive): Do LLMs stick out online?
04:41What is Context Engineering? The Next Big Skill After Prompt Engineering
04:17Why I Stopped Chasing Bigger AI Models and Cut Costs Without Losing Performance
03:37Memory in LLM‑based Agents: Building Stock‑Trading Workflows with Short‑term, Mid‑term, Long‑term…
03:28The Difference Between an AI Toy and an AI Tool is One Word: Observability
03:24How Agentic AI Extends the Power of LLMs
03:03LlamaIndex vs LangChain: The Real Battle for Chatbot Supremacy
02:33How LM Cache Architectures Are Revolutionizing AI Performance: The Secret Behind 90% Cost Cuts
02:32The AI Emotional Development Model: A Structural Comparison of the Human and GPT-5 Models
01:59Context-Bridged Communication  A critique of pure language
01:52How Anthropic’s Desktop Extensions Power Claude for Local Tasks
01:47The Future of Fast, Smart, and Creative Tech Just May Be Qwen 3.0 AI
01:31Can Gemma 3 270M Transform Efficient AI Development?
01:26LangChain — The Bridge Between LLMs and Real-World Applications
01:23Running a “GPT‑5 Vibe Coding” App Locally with LM Studio (on modest hardware)
00:56Introducing Service Buddy
00:18End the Dark Age of Statistics — Breaking Free from the Illusion of Frequentism
00:16OpenAI’s Latest Decision: Why Their Flashy, Giggly “Advanced Voice” Isn’t an Upgrade for Everyone
00:05RouteLLM: The Smart Way to Save Money on Large Language Models
Thursday, 2025-08-14
23:43Fine-Tuning Multi-Hop Reasoning Agents with OpenPipe ART — A GRPO Experiment on HotpotQA
23:19AWS Bedrock: Cross-Region Inference and More
22:49Claude Code Agent with ANY model (basically FREE)
22:45Caesar: The Crypto-Native Research Engine I’m All In On
22:27How Agentic RAG is Transforming Information Retrieval
22:15Tech Thursdays #1 — Mastering LLM Embeddings: From Zero to Production
21:34The Fall of AI and The Rise of REAL Intelligence
21:31Tiny LLMs Are Crushing It
21:30Why So Many People Are Unhappy with ChatGPT-5
21:05Google AI Introduces Gemma 3 270M: A Compact Model for Hyper-Efficient, Task-Specific Fine-Tuning
20:53Built with LangGraph! #22: Adaptive RAG
20:35Agentic Workflow: a Software Engineer’s Perspective
20:02Introducing LiteLLM Integration for Pydantic AI
13 of 100
Was this helpful?
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124