This enables high level control of simulations and computation, interactive exploration of computational results, batch processing on HPC resources, and reproducible workflow documentation in Jupyter ...

The system uses a really interesting combination of technologies including large language models (LLMs), LangChain and Jupyter Notebooks.

Jupyter Notebooks are a powerful tool for data science, allowing users to write and execute code, visualize data, and document workflows interactively. They are widely used for data exploration, ...

Minecraft DDoS tool targets Jupyter Notebooks in latest cyber attack. Discover the new Panamorfi campaign threat.

Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNL - NERSC/dl4sci-tf-tutorials ...

In notebook environments, users can utilize magic commands like “%%ai” to interact with LLMs. The software supports multiple providers, and users can customize the output format using the “–format” ...

By bringing together code, text, and examples, Jupyter notebooks have become one of the most popular means to produce scientific results in a productive and reproducible way. As many of the notebook ...