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Named Entity Recognition Using Scikit-LLM
Build standardized custom NER pipelines in a few simple steps, powered by the reasoning capabilities of LLMs.
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5 Best GitHub Repositories for AI Agent Skills
Explore five popular AI agent skill collections that help coding agents plan, test, debug, review, and build better software.
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The Roadmap to Becoming an AI Product Manager in 2026
A structured four-phase roadmap for building the technical fluency, evaluation skills, and governance literacy needed to succeed as an AI product manager in 2026.
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5 Docker Containers for Devs
Five self-hosted Docker containers replace the public utility sites where developer data quietly leaks. Learn which ones handle JWT decoding, data transformation, file conversion, API testing, and diagram rendering locally.
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Claude Haiku 5.5: What’s New and How to Use It for Fast, Cheap AI Workflows
Claude Haiku 5.5 cuts list prices by 90% and adds adaptive thinking and a 1M token context window. Learn what broke from Haiku 4.5, and build classification, extraction, and sub-agent workflows in Python using the new API.
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LangChain vs. LlamaIndex vs. Building From Scratch: Here’s What I Suggest
Choosing the right framework for your large language model application comes down to one question: what are you actually optimizing for?
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7 Checks to Run Before Trusting AI-Generated Code
AI makes writing code cheap. Verifying it is still your job.
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Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself
From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, where each falls short, and how to choose the right one for your use case.
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5 Best Resources to Learn About World Models in 2026
World models could be the next big shift in AI. Learn more right now.
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Abacus AI Honest Review: Key Criticisms, Facts & What Users Should Know
This review highlights the main critiques of Abacus AI, its price, user reviews, reliability of workflows, and real-life use cases to assist you in evaluating its advantages and disadvantages.
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Building AI Applications with OGX, the Open-Source Agentic API Server
OGX is an open-source agentic API server for building OpenAI-compatible AI applications, using any model and any infrastructure.
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7 Open-Source AI Tools That Can Replace Paid Subscriptions
Find open-source alternatives to OpenAI API, Midjourney, Claude Code, Notion, Wispr Flow, Grammarly, and NotebookLM that you can run locally or self-host for more privacy, control, and lower cost.
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Few-Shot Text Classification with Scikit-LLM
Leveraging Scikit-LLM for one of the simplest yet most practical text classification tasks utilized in the modern AI landscape: few-shot classification.
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5 Fun Projects for LLM Inference Engineering
Want to understand what makes LLMs fast? Build the systems yourself.
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The Roadmap to Mastering Agentic AI Systems in 2026
A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi-agent swarms and production observability.
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5 AutoHotkey Scripts for Data Scientists
Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and snapping windows into place.
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The Rise of AI Software Clones: Why REA and ArtCraft Are Going Viral
REA and ArtCraft are two projects driving a wave of AI-built clones that attempt to recreate Adobe and Microsoft software, letting developers reverse-engineer and rebuild commercial tools without access to the original source code.
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ChatGPT vs. Claude vs. Gemini for Data Science Work: Here’s What I Found
Compare ChatGPT, Claude, and Gemini across the data science tasks that matter most to statisticians and analysts.
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10 Hugging Face Models Worth Knowing in 2026
Explore 10 Hugging Face models used across text, vision, audio, and retrieval in 2026.
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Build Your First MCP Server in Python (Stateless Spec Edition)
MCP just got simpler. Learn how to build a stateless MCP server in Python and expose tools, resources, and prompts over HTTP.
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10 Free AI Tools That Replace Expensive Software for Data Scientists
Build a production-grade data science toolkit without spending a dollar, using open-source AI tools that match, and sometimes exceed, their paid alternatives.
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Bridging Algorithmic Design and Regulatory Standards in Enterprise AI
Your models can be both cutting-edge and compliant if you stop treating governance as the final hurdle and start building it into every stage of the ML pipeline.
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Building AI Agents with Docker Agent
Docker Agent is an open-source, Apache 2.0-licensed CLI plugin built by Docker Engineering, installed and run as docker agent. Its own tagline states the goal plainly: run AI agents like containers.
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7 Best Resources to Learn About Self-Evolving AI Agents
The next step for AI agents? Self-improvement. Here are 7 resources to get started.
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OpenAI Dots: The Data Scientist’s Reality Check
Dots promises a lot. Before you hand it the keys to your workflow, here's what practitioners need to know.
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I Tested 5 AI Coding Assistants for a Month: Here’s What I Actually Found
Compare five AI coding assistants across real tasks to find which tool fits your workflow.
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Who Pays for AI Data Centers?
The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.
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5 Best Practices for Building Robust Python AI Libraries
This article covers building robust Python AI libraries specifically, Python AI SDK best practices, and what separates a production-ready AI package from one that only survives in its own demo.
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3 Statsmodels Tricks for Time Series Analysis & Forecasting
A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it.
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Python Foundations for Engineering: A KDnuggets Cheat Sheet
This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.
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Forward Deployed Engineer: AI’s Hottest New Career, or Consulting With a Better Title?
The forward deployed engineer: is this the hot new AI career, or has the hype cycle rebranded?
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5 Proven Techniques for Token Compression and Prompt Optimization
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
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BrowserAct AI Web Scraper in 2026: Build Once, Run Repeatedly
Describe your data needs in plain language and turn websites into a continuous source of fresh data.
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From Messy Documents to Structured Data with Docling
Docling takes documents in whatever inconsistent format they arrive in, and converts them into one unified, structured representation that both people and AI systems can work with reliably, rather than everyone downstream having to guess at what a wall of extracted text actually meant.
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How to Use Marimo for Interactive Data Analysis
Learn how to use Marimo for interactive data analysis with Python, Pandas, and Altair, and turn a reactive notebook into a simple shareable dashboard.
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10 Python One-Liners That Will Make Your Code Cleaner and Faster
Get work done, and have seconds added back to your life since you won't be writing second, third or — *gasp!* — fourth line follow-ups to your impeccable typed line numero uno.
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Did AI Just Solve One of Mathematics’ Biggest Problems?
OpenAI’s agents reached a proposed solution in 88 hours. But the human research that came before, and the controversy that followed, raise a harder question: what actually counts as an AI discovery?
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Ollama for Managing Local Language Models: A KDnuggets Cheat Sheet
Ollama pulls model weights, keeps an HTTP server on port 11434, and hands any client an OpenAI-shaped endpoint pointed at your own machine. Learn how to manage, configure, and optimize using Ollama right here.
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How to Turn Excel Data Into PowerPoint Presentations With AI
Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation.
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SuperWhisper s1-mini: The 600M Parameter Model Built Just for Transcription
This is a summary of, and insights into, what I found digging into the recently-released Superwhisper S1 family of voice-to-text models.
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5 Free Courses to Learn AI Engineering
Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses designed to help you become a stronger AI and machine learning engineer.
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Gemini 3.5 Transcribe vs OpenAI’s GPT-Transcribe
Here's how each got to where it is, a real use case and working code for both, and a side-by-side on the numbers that actually matter.
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3 Numba Tricks for Python Runtime Optimization
When Numba code disappoints, it's nearly never the compiler, and usually ends up being the boundary around the compiled code: not crossing it, not making it wide enough, or crossing it during every run.
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Batching by Length Instead of Looping Item by Item for SLM Optimization
We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item.
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7 Advanced Python Tricks to Level Up Your Coding Skills
Leveling up rarely means new syntax. It means learning what the language already promised you.
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MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams that make the whole concept easy for anyone to understand.
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What I’ve Learned About DeepSeek Harness
KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found.
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Everything Claude Opus 5.5 Actually Ships With
This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent coverage, so you have one place to check the facts.
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High-Performance Data Processing with Polars: A KDnuggets Cheat Sheet
Polars is a DataFrame library written in Rust on the Apache Arrow memory format, and the speed comes less from the language than from the model. The model? Describe your work as expressions, and the Polars query engine plans them out.
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Bravely AI Browsing with Leo
Learn about private AI browsing for data professionals.
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7 Open-Source Alternatives to ChatGPT You Can Run Locally
Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document assistants to agent platforms, multi-user setups, and complete self-hosted AI workspaces.
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What Everyone Is Getting Wrong About TypeSafe AI’s Jev
A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far.
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How to Turn a Python Script Into an AI Agent
Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows.
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3 Polars Tricks for High-Performance Data Manipulation
Almost every slow Polars script lacks in terms of one of these two: its expression engine written and executing in Rust across every core at its disposal, and its query optimizer that rewrites your work before any of it runs.
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Reusing the Prompt Prefix with a Key-Value Cache for SLM Optimization
In this second article in our short series on SLM optimization techniques we focus on the reuse of the prompt prefix with a key-value cache.
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5 Prompt Optimization Strategies That Actually Improve LLM Output
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.
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What’s So Good About ChatGPT Work? Here’s What I Found
This article walks through how ChatGPT Work specifically earns its reputation, where the underlying models genuinely hold up against the competition, and where the honest limits are.
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5 Free Zoomcamps From Data Pipelines to AI Agents
Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI development through practical lessons, homework, projects, and community-based learning.
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Estimators in Scikit-LLM: A KDnuggets Cheat Sheet
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.
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How to Build Effective Evals for AI Agents
Learn how to build effective evals for AI agents, from designing clear tasks and choosing the right graders to building reliable eval harnesses and tracking changes over time.
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Orchestration and Execution: How JONI Approaches the Agent Layer
Explore how JONI approaches AI agent orchestration with persistent runtimes, multi-model routing, execution capabilities, and reliability beyond simple content generation.
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How I’m Using Google Opal for Even More AI Automations
Opal is Google Labs' no-code tool for turning natural language into working AI mini-apps, built on top of an internal framework called Breadboard. Here's how I learned to use it best.
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5 Free Microsoft GitHub Courses to Learn Data Science and Artificial Intelligence
Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI agents.
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7 Python Best Practices Senior Developers Follow (That Beginners Often Miss)
Senior Python practice, watched up close, is mostly surprise reduction. These seven habits surface the surprises before production does.
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Why DeepSeek-V4.1-Flash Is Such an Exciting Open Model Release
DeepSeek-V4.1-Flash shows how Causal Encoder-Decoder architecture, MoE, KV cache compression, CSA2, cheaper prefill, and efficient decoding can make powerful open-source AI models far more efficient to run.
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From Spaghetti Code to Clean Python: A Beginner’s Guide
Learn how to refactor messy Python code into clean, maintainable functions.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on September 11, 2026 in Python
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5 Python Techniques for Efficient Resource Orchestration
This article explains 5 Python techniques for efficient resource orchestration and sticks to what's stable today, 3.11 and later for the core techniques, with one 3.14-specific tool called out explicitly as requiring that version
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A Candid Abacus AI Review: The All-in-One AI Platform for Professionals & Enterprises
If you’re paying for ChatGPT, Claude, and another AI tool simultaneously, this review is for you. It covers what an AI platform like Abacus AI actually includes, how the credit system works in practice, and whether it genuinely replaces your current stack or just adds to it.
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Feature Engineering in Scikit-Learn: A KDnuggets Cheat Sheet
Once feature engineering lives inside a Pipeline, each step is fitted on training data only, and the model is scored what it actually earned. And that is the idea behind this new cheat sheet.
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7 Steps to Become a Forward Deployed Engineer in 2026
FDEs are becoming some of the most in-demand engineers in AI. Here’s the 7-step roadmap to becoming one in 2026.
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5 Useful Python Scripts to Automate CSV Processing
Automate common CSV tasks with these 5 Python scripts for cleaning, validating, transforming, and processing CSV files using the standard library.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on September 10, 2026 in Python
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Build an AI Data Analyst That Thinks Like a Senior Analyst
A six-stage pipeline that checks its numbers before calling anything an answer.
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