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.
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.
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.
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.
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.
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.
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.
How AI agents will transform data analysts' work in 2026
AI agents will change the work of data analysts in 2026, but they will not replace people. Instead, they will make them faster and more efficient at processing information.
5 small open models with tool calling: agents that don't need the cloud
Compact language models can now invoke functions and use tools without cloud services, while remaining open and low-cost.
How to Use Python itertools for Time Series Feature Engineering
Python itertools makes it possible to build features for time series quickly and at scale. Learn how to use this tool effectively in practice.
KDnuggets: five outlier detection methods agreed on only 32 of 816 wine samples
KDnuggets authors tested five outlier detection methods on 6497 Portuguese wines: of the 816 samples flagged at least once, only 32 were identified by all the main algorithms.
KDnuggets named 7 frameworks for orchestrating AI agents: from LangGraph to Google ADK
KDnuggets compiled seven key frameworks for orchestrating AI agents — from LangGraph and CrewAI to Google ADK and LlamaIndex — and showed which tasks each is suited for.
LangChain: Large companies are deploying AI agents into production faster than startups
LangChain's agent engineering report shows an unexpected shift: large companies are already deploying AI agents into production more often than startups, and the market's main barrier is no longer cost, but quality.