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.
744 articles · updated 24/7 from 100+ sources
TinyTorch: Don’t Just Import PyTorch. Build It.
A framework you write yourself, tensors through transformers TL;DR Every mature systems project eventually needs a…
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…
5 Prompt Optimization Strategies That Actually Improve LLM Output
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output…
PyTorch Day Japan 2026 Comes to Tokyo on December 10
PyTorch Day Japan 2026 will bring the open source AI community together in Tokyo on December 10 for a full day of…
What’s Actually Inside 24,723 Tokens of a Search Result? We Broke It Down, Field by Field
See how SerpApi’s Markdown output can cut search-result token usage by up to 74%, reducing AI agent costs and…
Linux Foundation Newsletter: September 2026
Welcome to the September 2026 edition of the Linux Foundation Newsletter The open agentic AI community is coming…
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…
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…
Benchmarking Local LLM Servers: llama.cpp, llamafile, LM Studio, and Ollama
Running an LLM locally is more than choosing a model. The serving tool plays an essential role, as it…
4-bit Rotational Quantization
Introduction Last year we introduced Rotational Quantization (or RQ) with 8-bit and 1-bit sizes. These…
Open Research, Tooling & Optimization at PyTorch Conference North America 2026
TL;DR Taking place October 20 to 21 in San Jose, California, PyTorch Conference North America 2026 highlights…
Low Precision Flash Attention 4: End-to-End Block-Scaled Attention for Blackwell
TL;DR We extend FlashAttention-4 [1] with MXFP8 forward and backward, reaching 2.85 PF/s forward and 2 PF/s…
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…
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…
Orchestration and Execution: How JONI Approaches the Agent Layer
Explore how JONI approaches AI agent orchestration with persistent runtimes, multi-model routing, execution…
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…
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,…
Open Secure AI Alliance Joins the Linux Foundation to Build a Shared, Open Defense Stack for the AI Era
Home Blog Open Secure AI Alliance Joins the Linux Foundation to Build a Shared, Open Defense Stack for the AI…
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…
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…
Helion x 🤗 HF Kernels: Building and Shipping Out-of-the-box Performant Kernels
TL;DR The HuggingFace Kernels project now has Helion support. This blog walks through how to build, autotune,…
From Spaghetti Code to Clean Python: A Beginner’s Guide
Learn how to refactor messy Python code into clean, maintainable functions.
5 Python Techniques for Efficient Resource Orchestration
This article explains 5 Python techniques for efficient resource orchestration and sticks to what's stable…
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…