Latest publications
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.
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.
MIT researchers outline a just-in-time model for planning and prediction
A new arXiv paper shows how humans and AI can build a simplified world model as needed: this reduces memory load while preserving the quality of prediction and planning.
KDnuggets lists seven free web APIs for AI agents and vibe coding
KDnuggets compiled seven web APIs with a free starting tier that help AI agents search, scrape, browse, and explore websites without assembling a complex stack manually.
OpenAI Whisper, React, and FastAPI: how to build an AI meeting summarizer with no budget
A detailed breakdown shows how to build an AI service for meeting summaries without paid APIs: Whisper handles transcription, FastAPI and React handle the product layer, and free LLMs handle analysis.
KDnuggets listed 10 LLMOps tools teams should add to their stack in 2026
KDnuggets listed 10 key LLMOps tools for 2026 — from model routing and observability to guardrails, agent memory, and artifact packaging.
KDnuggets lists the five largest skill marketplaces for AI agents in 2026
KDnuggets compiled five platforms where prebuilt skills for AI agents can already be searched, compared, and installed — from giant catalogs to storefronts with security checks and CLI installation.
5 Docker containers for AI agent developers: spin up and get to work
Five Docker containers for agent developers: Ollama, Qdrant, n8n, Flowise, and Open WebUI — the entire core stack comes up in minutes with no configuration.
OpenClaw: five projects for building a personal AI assistant, from chats to a server
A selection of five projects shows how to turn OpenClaw from a chatbot into a personal assistant by connecting messaging apps, local models, Google Workspace, a browser, and a VPS.
KDnuggets releases a RAG guide: seven steps to reliable LLM applications without hallucinations
KDnuggets outlines seven key stages of building RAG systems — from data cleaning and chunking to context retrieval, answer evaluation, and tuning enterprise LLMs on real documents.
Google Antigravity: five useful use cases beyond code — from research to database work
Google presents Antigravity as more than a coding IDE: the platform is already suitable for research, interface documentation, parallel agent work, and database queries.
OWASP and OpenClaw: why AI agents are becoming a new security problem
AI agents no longer just respond to requests — they act inside company systems, and that is what turns shadow AI, plugins, and agent memory into a new attack surface.
KDnuggets showed how to run Qwen3.5 on an old laptop with Ollama and OpenCode
KDnuggets released a practical guide to running Qwen3.5 4B locally on an old laptop: with Ollama and OpenCode, you can build a private AI environment for code, tests, and experiments.