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.

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 ...

Machine learning startup Predibase Inc. today announced the commercial availability of its low-code declarative machine learning platform for artificial intelligence developers, adding new features ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

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 ...

Machine learning (ML) incites both anticipation and anxiety, but by learning to join forces with ML and developing a method for training and usage, humans and ML can form a symbiotic co-working ...