Open Source News
Open source AI refers to freely available models, libraries and tools — from Hugging Face releases to community projects on GitHub. This page tracks every notable open release.
890 articles · updated 24/7 from 100+ sources
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…
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…
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…
5 Free Courses to Learn AI Engineering
Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses…
Highlights from Git 2.56
The open source Git project just released Git 2.56.0 with features and bug fixes from over 104 contributors,…
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…
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…
Improving site performance by shipping more CSS
The Primer Design System powers many of the experiences you see on GitHub today. From buttons to banners to…
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…
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.
Accelerate Your AI Journey with new Introduction Track at PyTorch Conference NA 2026 and PyTorch Associate Training
As deep learning models move rapidly from research prototypes into core enterprise infrastructure, the demand…
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…
What I’ve Learned About DeepSeek Harness
KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found.
From Research Project to Open Source Ecosystem: Bring Your Academic PyTorch Project to PyTorchCon NA
Some of the most interesting work being built with PyTorch starts in universities, research labs, student…
Rendering huge pull requests in the GitHub Copilot app
Broad refactors and migrations often have to land as one change. Stacked pull requests are a great way to…
Everything Claude Opus 5.5 Actually Ships With
This article pulls together every verifiable number and detail from Anthropic's announcement, the platform…
Why Most Data Science Notebooks Die After Day One: How to Build Ones That Survive
Six habits that keep a notebook runnable after you close the laptop.
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…
Hardware-Agnostic Models in vLLM
TL;DR To achieve state-of-the-art performance at the frontier, vLLM is changing its internal implementation…
Bravely AI Browsing with Leo
Learn about private AI browsing for data professionals.
How Shopify built a continual learning loop with PyTorch and vLLM
TL;DR: This case study explores how Shopify compresses production failures into model weights every day,…
7 Open-Source Alternatives to ChatGPT You Can Run Locally
Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document…
Agent Memory with Engram: A Practical Guide
Every tool you've ever set up has an onboarding screen you just straight click past. Usually the defaults are…
TinyTorch: Don’t Just Import PyTorch. Build It.
A framework you write yourself, tensors through transformers TL;DR Every mature systems project eventually…