KDnuggets
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Olostep: automatic documentation crawler for preparing data for AI
Olostep allows crawling entire documentation websites with a few lines of code — the tool collects pages, removes unnecessary elements, and provides clean text ready for AI tasks.
How to run ultra-efficient 1-bit neural networks locally: a guide to BitNet
We explain how to deploy the BitNet b1.58 architecture on your PC. We cover bitnet.cpp installation and the advantages of using 1-bit models at home.
The MCP Revolution and the Search for Viable Enterprise AI Use Cases
Researcher Sebastian Walkötter examines the standardization of AI integrations, security issues, and the key question holding back enterprise AI adoption.
Five architectural patterns without which agentic AI cannot survive in production
AI-based agentic systems are increasingly moving beyond prototypes, but most of them break down on the way to production. We examine which architectural patterns separate working solutions from polished demos.
DataCamp opens free access to data analytics training for one week
Popular platform DataCamp has made all its Python, SQL and PowerBI courses free until February 22. A chance to gain certification-level skills at no cost.
Guide to Feature Stores: The Foundation of Modern ML Infrastructure
Learn why feature stores have become a critical element for scaling neural networks and which tools dominate today's fast-growing MLOps market.
ML-Pipeline Optimization: 5 Ways to Save Team Time
In modern machine learning (ML) development, pipeline efficiency plays a critical role. Often, teams spend unjustifiably large amounts of time on stages that can be optimized.
Bindu Reddy and the Path to AGI: Why One 'Smartest' Model Won't Be Enough
While Silicon Valley competes to loudly promise the advent of artificial general intelligence (AGI) by next Tuesday, Bindu Reddy suggests taking a deep breath.
AI in Business: How to Stop Believing in Magic and Start Counting Money
The era of tourist interest in neural networks has officially ended. If in 2023 CEOs of major companies were running around conferences asking "what do we do with ChatGPT?", then in 2024 they come to…
Time Series: Five Neural Networks That Forecast the Future Better Than Analysts
Time Series: Five Neural Networks That See the Future Better Than Analysts While the world is passionately debating whether GPT-5 will learn to reason, in the shadow of large language models there…
Billions of Parameters: How We Measure Intelligence in Numbers
Each time a major AI release happens in the industry, the first question in the comments sounds the same: "How many parameters does it have?" This has become a kind of measure of sophistication,…
Scikit-learn: 7 Tricks for Those Tired of Waiting Forever
Hyperparameter tuning is the very activity that transforms a data scientist from an architect of the future into a bored washing machine operator.
Hugging Face Spaces: How to Stop Paying for Your Portfolio Hosting
Let's be honest: most ML developer portfolios on GitHub look like code graveyards. You spend weeks training a model, write clean code, format the repository properly, but when it comes time to…
Data Teams: Why Number of Neural Networks No Longer Matters
The era of "flag waving," when companies could simply claim to have neural networks on staff, has officially come to an end.
The Multimodal Shift: How AI Stopped Being Blind and Why It Matters
A couple of years ago, we marveled at the fact that neural networks could draft a well-written letter or write code.
Data Under Lock: Three Ways to Save ML Pipelines from Leaks
Imagine you're building a supersonic aircraft, but you have to fuel it with fuel that can explode from any careless movement.
Feature Engineering on Steroids: Seven Python Libraries You're Wrongly Ignoring
Data Science is 80% data cleaning and 20% complaining about how much time data cleaning takes. We're all accustomed to the standard stack, where Pandas and Scikit-learn seem eternal and indispensable.
ComfyUI for Everyone: How to Stop Being Afraid of Nodes and Take Full Control of Stable Diffusion
Remember that strange feeling when you first opened Photoshop after using simple Paint? Modern users experience roughly the same sensations when switching from the classic Stable Diffusion interface…
Breakthrough Graph Neural Networks: What to Expect in 2026
Graph Neural Networks (GNN) – a powerful tool for analyzing and modeling complex relationships in data.
Open Notebook: A True Open-Source Alternative to Private NotebookLM?
In a world where data privacy is becoming increasingly important, the emergence of Open Notebook has generated significant interest.
5 Alternatives to Google Colab for Long-Term Tasks: Choosing the Best
Google Colab has become a starting point for many specialists in machine learning and data analysis, offering free access to computing resources.
AI Startups: Transition from Infrastructure to Applications
In recent years, artificial intelligence has ceased to be merely a technological trend, transforming into a powerful force reshaping all aspects of our lives and business.