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.
KDnuggets6 min read
Originals
29 stories
5 Fun Projects for LLM Inference Engineering
Want to understand what makes LLMs fast? Build the systems yourself.
KDnuggets6 min read
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.
KDnuggets10 min read
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.
KDnuggets6 min read
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.
KDnuggets8 min read
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.
KDnuggets10 min read
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.
KDnuggets6 min read
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.
KDnuggets11 min read
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.
KDnuggets5 min read
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.
KDnuggets10 min read
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.
KDnuggets14 min read
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.
KDnuggets15 min read
Meta Muse Explained: What It Is, How It Works, and What It Can Do
On September 8, 2026, Meta launched Muse, a personal AI agent designed to do more than just answer questions. Muse can browse websites, connect to your apps, send emails, make purchases, fill out forms, manage longer-running goals, and continue working even after you close the app.
KDnuggets10 min read
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.
KDnuggets5 min read
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?
KDnuggets11 min read
5 Proven Techniques for Token Compression and Prompt Optimization
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
KDnuggets6 min read
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.
KDnuggets16 min read
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.
KDnuggets6 min read
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