LLM News and Articles

124 of 100
Wednesday, 2025-09-17
16:45From “Code is King” to “Specification-Driven”: The Paradigm Shift Transforming Software Development
16:41Qwen VLM: A Large Multimodal Model with Advanced Visual Understanding and Generation Capabilities
16:31Mastering CLEAR Prompting: How to Write Prompts That Get Results
16:318 ML Caches That Slash Token Spend
16:23Production-Grade RAG: From Data Chaos to Knowledge Refinery
16:23How Micro-LLMs Will Bring AI to Your Pocket (Even Without Internet)?
16:21Integrating MCP with AI Agents: Building Powerful Context-Aware Systems
16:12Lets Build an MCP Server from Scratch — No Anthropic API, Just Code!
16:07Why Language Models Hallucinate (And What To Do About It)
16:00How People Use ChatGPT
15:52I can’t stop thinking about LLM Context Windows
15:38AIVO Standard PSOS™ Mini Case Study: SUITSUPPLY & HOCKERTY
15:34Distributed Training of LLM's: A Survey
15:31A hands-on guide to quantizing Large Language Models (LLMs)
15:27Smart Context Engineering with Pydantic AI — Part 1: History Processing for Long-Running Tasks
15:05When Postgres Struggles with Analytical Queries: ClickHouse’s Lightweight Transformation Solution
15:05The Economics of Luo Yonghao’s Traffic
15:02Inference Scaling: Techniques to Enhance AI Reasoning and Complexity
15:01Blue Streams: Orchestrating Work
15:01Search That Understands You: Semantic Search in .NET Core
14:58Talking to Your Chess Coach: LLMs as Modern Mentors
14:4710 Hidden Features of 9xChat That Will Boost Your Productivity
14:32Lets not overuse words AGI, ASI, … We are in NLP for now
14:315 LangChain Multi-Agent Blueprints That Don’t Collide
14:23Mantra for LLM
14:02The Data Science Guide to Efficient LLM Fine-Tuning
13:55Why does your AI sometimes sound brilliant, and sometimes dumber than a rock?
13:03Tau² benchmark: How a prompt rewrite boosted GPT-5-mini by 22%
12:51How AI Assists Marketing Teams in Interpreting Product Analytics from AI Responses.
12:47How to Find the Right Tuning Strategy for Your LLM (Without Burning Out Your GPU)
12:42Top 20 LLM Interview Questions
12:35The Race to Build the Best AI Accelerator for LLM Inference
12:30Alien Intelligence Was Inside Language All Along
12:24Gartner’s AI sandwich: why scaling depends on getting all three layers right
12:10Groq Raises 0M as Inference Demand Surges
12:10Automating Research-to-Care Data Integration via OMOP and FHIR
12:10The Data Science Paradigm Shift: LLMs Are Learning to Use Tools
12:00Is Generative AI Failing ? Too Much Noise, Not Enough Value
11:59Low Rank Adaptation and Quantization : An efficient approach for finetuning LLMs
11:47What LLMs Automate for Compliance Checks in Manufacturing Products
11:38Understanding Graph-Based Indexing
11:38Understanding Graph-Based Indexing
11:37The Wise Core: Today’s Code Is Tomorrow’s Consciousness
11:35Midnight Static and the Gathering Phase
11:06NVIDIA’s Iconic Pivot: From Championing Bigger Models to Betting on Small
11:03LLM open source benchmarks : short note on qwen3-next-80b, coding and Agentic AI
10:54The Coolest New AI Models in 2025: How They’re Shaping Industries and Everyday Life
10:26Beyond Text Generation: The Crucial Role of Post-Processing in LLM Outputs for Business and Visual…
10:14Is Your Over Engineered Prompt Isn’t Working
09:33Add Free Live Chat to Your Website in JUST 2 Minutes!
09:23The Birth of Criminal ChatGPTs That Can Outthink Us All
09:09Is the Magic of AI Image Models Just a Statistical Trick?
08:57A Study on Retrieval-Augmented Generation (RAG): Why RAG?
08:50QLoRA and Gemma 2B: Efficient 4-bit LLM Training on Resource-Constrained GPUs
08:46CXOD-7 and Coh(G): A New Framework for Evaluating Contextual Integrity in Large Language Models
08:45Week 1, episode 4 — Beyond RAG: The Agentic LLM Playbook for Data Science
08:18Beyond Chatbots: The Next Wave of AI Systems We’re Quietly Building
07:56AI Usage Is Growing Rapidly — Especially Among Younger Adults
07:55Dear Travel Brands: Stop Optimising for Humans — Start Optimising for AI
07:38Healthcare & Pharma in the Age of AI Search: Trust, Decay, and Misinformation Risk
07:38Navigating AI Regulation: How to Ship Responsible RAG, Agents, and LLMs Without Inventing New…
07:32How to use language models securely
07:18Beyond Basic RAG: Mastering Advanced Retrieval-Augmented Generation for Production-Ready AI Systems
07:15Vector Databases and Semantic Search: A Complete Implementation Guide
07:13ChatGPT developing system to identify under-18 users after teen death
07:10OpenAI doesn't have the cash to pay Oracle 0B
07:05When Postgres Struggles with Analytical Queries: ClickHouse’s Lightweight Transformation Solution
07:05BrowserAct: A Tool That Simplifies Data Scraping
07:02Model Bağlam Protokolü (MCP): Yapay Zekânın Veri Köprüsü
07:01Halüsinasyon Nedir?
06:59Yapay Zeka Donanımı ve Temel Terimler
06:58How to Build an AI Fabric to Promote Your Brand on FBM
06:52Show HN: STT –> LLM –> TTS pipeline in C
06:43Why AI Hallucinations Are Here to Stay (and What We Can Do About Them)
06:38Confessions of a Developer Who Barely Codes Anymore — Interview
06:33My Journey from Full-Stack Developer to Generative AI Engineer: A Roadmap You Can Follow
06:32Revengehotels Targets Latin America With Llm Lures And Venomrat
06:24Perplexity in Large Language Models: Why It Matters
06:17When Your AI Changes Its Mind: it’s behaving exactly as designed. Here’s why that’s terrifying.
04:39Scaling AI Assistants: Lessons Learned from Deploying LLMs
04:01Private AI for Document Analysis: Executive Agreements as a Case Study with Model HQ
03:46People Use ChatGPT
03:32Early Adopters of Proactive AI Agents
03:01Africa’s AI Landscape
02:55What Generative AI Really Do: A Map of Its Core Capabilities and Interaction Design Patterns
01:57How To Train Your Agent
01:51Trump's Son-in-Law Jared Kushner Co-Founds Brain Co. Partnered with OpenAI
01:25It’s not all about prompting: 5 Agentic AI Patterns You Can Actually Use
01:02Building LLMs From Scratch (Part 2): Tokenization
00:26How LLMs Are Transforming Healthcare, Finance, Law, and More
00:25Using LLMs to evaluate LLMs
00:06Disaggregated Inference with PyTorch & vLLM: Scaling Large Language Models Efficiently
00:00Public AI on Hugging Face Inference Providers 🔥
Tuesday, 2025-09-16
23:35Extracting text from a pdf broke ChatGPT
23:31Improving the AI data scientist, adding features based on user feedback
23:31Understanding the Transformer Architecture: A Comprehensive Beginner’s Guide
23:21LLM misalignment may stem from role inference, not corrupted weights
23:20Instruction tuning Gemma 3n for low resource languages with Google Translate and Vertex AI…
23:07Choosing Your Vector Store for RAG-based applications : Speed vs. Durability
23:05LM Studio Supports Qwen3-Next Model, A New Option for Mac Users
124 of 100
Was this helpful?
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124