From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...

Low-code platforms improve the speed and quality of developing applications, integrations, and data visualizations. Instead of building forms and workflows in code, low-code platforms provide drag-and ...

Jan Jongboom's dream, in his own words, was to have devices that really understand what is happening around them. That was ten years ago, but it wasn't until 2019 that he started really acting upon it ...

This LinkedIn tool for building machine learning systems is now part of the LF AI & Data Foundation Your email has been sent As organizations start to make more extensive use of machine learning, they ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide covers project organization, version control, data pipelines, model ...

I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine learning expert. So when ...