KDnuggets
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
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.
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.
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.
Feature Store from Scratch: Five Components for Minimal Working Implementation
Detailed breakdown of five essential feature store components — from ingestion to monitoring — and analysis of how AI emergence is changing classical architecture.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
Transformers.js: NLP Directly in the Browser — Three Practical Examples
Transformers.js runs NLP models directly in the browser without backend infrastructure. A tutorial covers three applications: text classification, zero-shot labeling, and question-answering.
How to Configure a Local Model in Ollama: Parameters for Full Control
Ollama allows you to run language models locally and fine-tune their behavior through temperature, context, and other parameters.
Gemma 4 as an Agent: How to Teach a Model to Call Tools Independently
Google's open-source Gemma 4 model has learned to independently call tools for search and computations — a new tutorial shows how to implement agent behavior.
Best Compact Language Models on Hugging Face: Overview and Practical Selection
Hugging Face offers dozens of compact language models that run on modest hardware at minimal cost: we've selected the best and showed how to use them.
Mimesis for Bias Audit: Check if Your Model Discriminates
The Mimesis library helps developers detect hidden biases in machine learning models by generating balanced synthetic datasets for controlled bias auditing.
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.
Vector search in Python from scratch: embeddings and similarity search
A step-by-step guide to building your own search engine based on vector similarity. We break down embeddings, cosine similarity, and retrieval logic — the foundation of modern RAG systems and semantic search.
Stop the waste: compact TOON instead of inefficient JSON in LLM pipelines
JSON wastes tokens because field names are repeated. TOON is a more efficient alternative that reduces costs and speeds up request processing for language models.