KDnuggets
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
KDnuggets Publishes a Four-Level Roadmap for Agentic AI Systems
KDnuggets lays out four levels for building agentic AI systems, from a single cognitive loop and memory to agent swarms and production observability.
5 AutoHotkey scripts for Windows analysts: from project launch to window layout
Before analysis even starts on Windows, time gets lost launching programs, converting clipboard contents, and arranging windows. Five AutoHotkey v2 scripts kill these rituals with a single keystroke, without touching ana
REA and ArtCraft Build AI Clones of Adobe and Microsoft Software Without Access to Source Code
Two projects, REA and ArtCraft, use AI to recreate Adobe- and Microsoft-style software without the source code. We break down how it works and where the legal line runs.
KDnuggets Shows How to Build a Stateless MCP Server in Python With HTTP Access
KDnuggets has published a guide to a stateless MCP server in Python. It exposes all three primitives, tools, resources and prompts, over plain HTTP with no session storage.
10 Free AI Tools to Replace Paid Data Science Software
DataRobot costs $50,000 a year, Tableau costs $900 per user. But Ollama, AutoGluon, PandasAI, and seven other open tools now fully replace paid analytics and machine learning software.
AI Act Fines Reach 7% of Revenue: Time to Build Compliance Into the ML Pipeline
KDnuggets argues governance should not be the final gate: AI Act fines reach €35 million or 7% of global revenue, and fixing a model after the fact is expensive.
Pingouin: how to build a statistical EDA pipeline
Pingouin helps carry out comprehensive statistical data analysis. We examine how to build an effective EDA pipeline that validates the key properties of a dataset.
10 GitHub Repositories for Modern Databases and Tools
KDnuggets curated 10 best open-source projects for working with modern databases: from analytics and caching to monitoring and replication.
How to Become an AI Architect in 2026: A Roadmap from Engineer to Systems Designer
KDnuggets published a step-by-step plan for engineers who want to grow into AI architects: what to study, how to make system decisions, and develop leadership skills.
Developer built an AI assistant from scratch: architecture, code, and what broke
A KDnuggets engineer explained why he gave up paid AI services and built his own assistant — with code, architecture, and an honest breakdown of mistakes.
7 Best Free Image Generators on Hugging Face in 2026
KDnuggets sifted through 90,000 models on Hugging Face and picked seven that actually work for free — from the lightning-fast FLUX.1-schnell to the detailed Stable Diffusion 3.5 Large.
Feature Store from Scratch: Five Components for a Minimal Working Implementation
A detailed look at the five required components of a feature store, from ingestion to monitoring, and how AI is changing the classic architecture.
Google and Kaggle Open a Free 5-Day AI Agents Course (Agentic AI)
Google and Kaggle have opened free access to their 5-day AI agents intensive on Kaggle. There is no fee and no selection process, and you can work through it at your own pace.
Qwen3.6 and MCP: How to Build a Local AI System Without Integration Code for Each Model
KDnuggets shows how to build a local AI system using the Qwen3.6 model from Alibaba Cloud and the MCP protocol—without writing integration code for each model.
KDnuggets Curates 7 Practical Python Projects on AI and Data for 2026
KDnuggets compiled a collection of seven practical Python projects for 2026 covering AI automation, machine learning, APIs, dashboards, and data analysis—complete with guides and datasets.
SmolVLM2-2.2B for local video summarization on consumer GPU
Hugging Face introduced a compact multimodal model SmolVLM2-2.2B that summarizes video on a single consumer GPU — powerful enough for real workflows, but small enough for home setups.
Gemma 4 Parses PDFs as Images: Zero-Shot Approach Without OCR and Cloud
Google's multimodal Gemma 4 processes any PDF—scans and digital documents—without an OCR pipeline: pages are converted to images and passed directly to the model.
SQL, Pandas, or AI Agents: KDnuggets Compared Three Analytics Tools by Eight Criteria
KDnuggets tested SQL, Pandas, and AI agents on three identical analytics tasks using eight metrics — with real execution time measurements and actual agent prompts.
Small Language Models in Agents: Five Use Cases Reshaping AI System Architecture
Five concrete scenarios where SLMs are already replacing frontier models in agents: from task routing and local inference to drafting for GPT-4—with metrics and tools.
Humanity's Last Exam: Why the Top AI Benchmark from CAIS Is Called a Distraction
KDnuggets experts analyzed Humanity's Last Exam — the most complex AI test from Center for AI Safety and Scale AI — and concluded: it measures academic erudition, not the actual utility of models.
Qwen, Gemma, Phi-4: five open-source omni-models for every data type
Open multimodal models from Alibaba, Google, and Microsoft work with text, speech, images, and video in a single interface and run locally.
7 Best Coding Models for Local Deployment in 2026: Qwen, DeepSeek, and More
A review of seven open-source AI models for programming that run on your GPU in 2026 — from lightweight 7B variants to powerful 70B models with agent capabilities.
Which AI subscriptions for developers offer the best value for money in 2026
We compare five AI subscriptions for developers — from GitHub Copilot to Claude Code Max — and find out which plan offers the best mix of price, capabilities, and real time savings.
Why language models break document structure when you trust them with editing
KDnuggets explains why language models systematically disrupt a document’s formatting and structure when complex editing tasks are delegated to them.
Calibration of language models: three methods to align confidence and accuracy
Platt Scaling, Isotonic Regression, and Temperature Scaling are three post-hoc methods that align a model’s predicted confidence with its actual accuracy without retraining.
Claude Code and local models: zero cost for routine development tasks
Local models in 2026 handle most Claude Code tasks without token charges and without limits — how to build a proper hybrid scheme.
5 Essential Python Concepts Without Which AI Systems Won't Work
KDnuggets breaks down five critical Python concepts that engineers need to build scalable and reliable AI systems.
Anthropic released a comprehensive guide for developing and deploying Claude Skills
Anthropic has published a comprehensive guide to developing Claude Skills—specialized extensions that adapt Claude to specific domains and tasks.
Visual Debugging of Neural Networks: Tools and Techniques
Visual tools help ML engineers debug models faster: from plotting loss curves to analyzing gradients in real time.
7 Practical AI Projects for 2026 Automation: From Job Search to Market Analysis
KDnuggets compiled seven AI projects that automate real tasks: job search, web research, investment analysis, invoice processing, graph digitization, and personalized training.