Build NotebookLM workflows with router prompts and checkpoints, so you cut repeated chats and get consistent outputs across tasks.

According to DeepLearning.AI (@DeepLearningAI), a new course titled 'Jupyter AI: AI Coding in Notebooks' is now available, taught by Andrew Ng and Brian Granger, the co-founder of Project Jupyter.

The VACC Open OnDemand instance offers several choices of Python to choose from. The Anaconda distribution(s) with over 250 installed packages will cover most common scenarios except some specialized ...

Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Large language models (LLMs) have shown great promise in automating data science workflows, but existing models still struggle with multi-step reasoning and tool use, which limits their effectiveness ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More For enterprises, figuring out the right prompt to get the best result ...

Photoshop CS5 tutorial showing how to create a gaseous planet like Jupiter floating in deep space. Read Joe Biden doctor's full statement on refusing to testify Actor Julian McMahon’s official cause ...

Welcome to the MAIT repository! This pipeline, implemented in Python, is designed to streamline your machine learning workflows using Jupyter Notebooks. It is compatible with both Windows and Linux ...