LLM News and Articles

166 of 100
Tuesday, 2025-06-24
19:41AI’s “Stupid” Secret: Why Even the Smartest Models Can’t Do Basic Logic
19:09Fine-Tuning Large Language Models (LLMs): A Comprehensive Guide
19:07Understanding Tokenization: How Language Models Break Down Text
19:01Getting started with goose using Snowflake and MCP
18:50OpenAI Designed a Rival to Google Workspace, Microsoft Office
18:29How to Trick an AI Without Saying Anything Wrong
18:26Word Embeddings
18:16Foundations of Modern AI: Types of Machine Learning and the Power of Self-Supervised Learning
18:11I built my first MCP Server with Authentication that shares my Resume
18:06Impact of Gen AI on labor pyramids, pricing models, and service margins
17:59Kilo Code: Revolutionizing AI-Powered Coding in VS Code
17:43Anthropic Scores a Landmark AI Copyright Win–But Will Face Trial over Piracy
17:36Making LLMs fix q/kdb+ syntax through iteration
17:11Attention and friends
16:36TAI #158: The Great Acceleration: AI Revenue, M&A, and Talent Wars Erupt as the Industry Matures
16:22A federal judge sides with Anthropic in lawsuit over training AI on books
16:16Understanding and Implementing Guardrails in MCPConn: A Comprehensive Guide
16:13From Prompts to Products: My AI Internship Journey
16:08Day 2 of 50 Days of Building a Small Language Model from Scratch — Tokenizers: The Unsung…
16:02Anthropic wins a major fair use victory for AI
16:02ChatGPT's enterprise success against Copilot fuels OpenAI/Microsoft rivalry
15:596 Best Udemy Courses to Learn LangChain and RAG in 2025
15:48Overfitting vs Hallucination in LLM Models
15:44“Causal” in Causal Language Models
15:39Building Production-Ready Intelligent Chatbots with LangGraph: A Complete Engineering Guide
15:31RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
15:26So, What’s the Deal with OpenAI, Anyway? My Journey to Understanding the AI Marvel
15:19LLMs Don’t Think — They Just Sound Like They Do
15:18LLM Çağı “Yazılım Geliştirmenin Yönü Değil, Doğası Değişiyor”
15:16MCP Development Best Practices
15:02Anthropic wins key ruling on AI in authors' copyright lawsuit
15:02Thought Singularity: The Hidden Collapse Point of AI
14:49Why you might want to use vLLM for your open source LLM serving
14:31AI is Fueling a Scientific Revolution
14:24Anthropic bags fair use win but faces trial for using pirated works
13:31NanoVLLM: The 1,200-Line Python AI Engine That Actually Makes Sense
12:51SUSE Refines, Releases Open-Source LLM to Fuel Community Collaboration
12:41Stripe’s Payments Foundation Model: When Transactions Learned to Speak
12:33LangChain Nedir?
12:19Still building GenAI apps like it’s 2023? Why multi-agent orchestration is your next upgrade
12:15How ChatGPT Lost Its Lead to Claude: A Product Engineer's Take
12:03POPÜLER LLM FREAMWORKLERİ
11:58The LLM That Saved My Weekend
11:4710 Best Books on Data Analytics with AI Agents—Read Before You Build!
11:47How LLMs Learn: Words, Patterns, and Magic (Part 2)
11:46The Complete Guide to Using AI Chatbots Effectively: ChatGPT, DeepSeek, Grok and Beyond
11:41Can Agentic AI do what you do? — Let’s build one using AWS Bedrock to find out!
11:41Can Agentic AI do what you do? — Let’s build one using AWS Bedrock to find out!
11:34Mission: Accomplished
11:33Do Not Outsource Your Agency to an LLM
11:25What Humans Lack: How LLMs Speculate on Post-Experiential Mind
11:22The .08 Million Question: Why Your FinTech App is a Goldmine for Hackers (And How to Stop Them)
11:17Practical benefits of LangChain for developers building with LLMs
09:59Building Smarter, Real-Time AI Agents with Multi-LLM Support
09:19MS Introducing Mu language model
08:40Construyendo un LLM Zero Trust Framework: Del caos a la contención
08:35Application of RAG in LLM using Azure AI Foundry and AI S
08:33SFT, DAPT, PEFT ve RAG: LLM Uygulamaları için Kritik Teknikler Serisi — Bölüm 3…
08:26Ditch the Chat
08:25SFT, DAPT, PEFT ve RAG: LLM Uygulamaları için Kritik Teknikler Serisi — Bölüm 2: Domain-Adaptive…
08:14SFT, DAPT, PEFT ve RAG: LLM Uygulamaları için Kritik Teknikler Serisi — Bölüm 1: Supervised…
07:47CMU Researchers Introduce Go-Browse: A Graph-Based Framework for Scalable Web Agent Training
07:46Run Ollama using Spring AI
07:29The Prompt Engineering Plot Twist: Why AI Agents Actually Made Us More Important
07:27Unlocking Agentic with Go MCP
07:16GraphRAG-powered AI Agent interfaces: Revolutionizing content retrieval and generation with…
07:06Agents Unleashed: 9 Must-Know Insights From IBM’s 2025 Guide to AI Agents
06:49Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs — Paper Review
06:40JAX and Keras for LLM Development using TPU for Distributed Fine-Tuning
06:36Why Skipping the Basics in AI Creates Pseudo-Experts
06:33From Docs to Dialogue: Building a Production-Ready AI Assistant with Spring Boot and Milvus
06:31Fine-Tuning LLMs with LoRA Adapters: A Comprehensive Guide
06:29AI Development Roadmap (No-Code, Concept-First)
06:03Google Unveils On-Device Sign Language Model for Translators and LSPs
06:01LangGraph or LlamaIndex? Choosing the Right Tool for Your AI Project
05:47Quantization Demystified: Honey, I Shrunk the Model (And It Still Works)
05:27Can Large Language Models Cure Breast Cancer?
04:32LLM Sentiment Analysis: Use Cases, Benefits, and Implementation Guide
04:28¿Sueña la IA con ser una conciencia humana, o renunciamos nosotros a la nuestra?
04:21Why Gemini’s Reassurances Fail Users
04:17AI Is Cool, But Can It Decide?
04:08Principles of Agents
04:04Building RAG Applications with LangChain(Part-5)
04:01How to Develop a Deep Search Agentic Workflow With LangChain and Novita AI’s LLM API
03:45Building a ChatGPT-Like App with Apple’s On-Device LLMs
03:40LLMs explained (Part 4): Making LLMs actually useful through fine-tuning
03:40Build an Agentic App with LangGraph, Ollama, and Streamlit
03:40Understanding Qwen-v2: My Personal Take
03:39Compiler-R1: How Reinforcement Learning is Teaching AI to Think Like a Master Chef, Not a Recipe…
03:23Creativity and Individuality
02:38Show HN:Native iOS/macOS Client Supporting Ollama, LM Studio, Claude and OpenAI
02:33NLP: El pivote silencioso del salto en inteligencia artificial
02:01Integrating Tools with LLMs Using Model Context Protocol (MCP) — Complete Guide
01:51Building an AI-Powered Application with StreamLit, OpenAI and LangChain
01:29Random Prompt Sampling vs. Golden Dataset: Which Works Better for LLM Regression Tests?
01:28Speak with an LLM and Level Up: A Turbo Guide for Junior Devs
01:01Should We Let Machines Decide Who Lives or Dies?
00:43Integrating Probabilistic Systems into Deterministic Architectures
00:17n8n + MCP Integration: Automate AI Workflows with Ease
00:10What is Tool Calling and How to Implement It Using LangChain?
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124