A hands-on learning project for LLM fine-tuning. 7 modules covering the full pipeline: data processing, SFT training, inference comparison, and ablation experiments. For people with Python and PyTorch ...

Abstract: Deep-learning (DL) algorithms, which learn the representative and discriminative features in a hierarchical manner from the data, have recently become a hotspot in the machine-learning area ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

We begin this tutorial by showing how we can combine MLE-Agent with Ollama to create a fully local, API-free machine learning workflow. We set up a reproducible environment in Google Colab, generate a ...

AI tools are the latest craze to impact the tech industry — and by extension, the rest of the world. For years now, bosses everywhere are trying to boost profits by replacing workers with AI, and ...

Link to tutorial on Github: https://github.com/hydroclimali/XEE_tutorial/blob/main/xee_demo.ipynb I've been working with geospatial datasets for 13+ years now (since ...

Mellon, J., and Worrell, C., 2023: Explainability in Cybersecurity Data Science. Software Engineering Institute blog, Accessed June 24, 2026, https://doi.org/10.58012 ...

Department of Civil and Environmental Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States Article Views are the ...