A guide to benchmarking language models using a Jupyter Notebook that supports any OpenAI-compatible API, including Ollama and Foundry Local.
Learn how to accurately calculate token counts for strings using language models with a provided Jupyter Notebook tool.
A tutorial on deploying a GPU-accelerated TensorFlow Jupyter Notebook on Google Kubernetes Engine (GKE) Autopilot.
A guide to using Python's Altair library for data visualization, comparing it to tools like Tableau, and showing setup and examples.
An overview of Google Colab, a free cloud-based Jupyter notebook service with GPU/TPU access for machine learning and data science.
A developer shares progress from the first week of an F# mentorship, covering a full-stack web project and machine learning experiments for March Madness predictions.
A satirical look at AI development and government funding, imagining a fictional 'Ministry of Silly Models' in the UK.
Analysis of PHP's limitations for machine learning, focusing on visualization, Jupyter support, and GPU capabilities compared to Python.
A guide to installing Python packages in Jupyter Notebooks, explaining common issues with pip and conda, and how to ensure packages are available.
A tutorial on analyzing Seattle's Pronto CycleShare data using Python, Pandas, and the PyData stack for data science.
