Aisuko/notebooks
Implementation for the different ML tasks on Kaggle platform with GPUs.
This collection of Kaggle notebooks helps you explore and experiment with large language models (LLMs) and deep learning tasks for generative AI. It demonstrates how to fine-tune and use various LLMs, applying quantization techniques to optimize performance on consumer-grade hardware. Researchers and machine learning enthusiasts interested in practical LLM application and optimization would find this useful.
Use this if you are a machine learning researcher or enthusiast looking for practical examples of LLM implementation and optimization on accessible hardware like Kaggle's free GPUs.
Not ideal if you are a business user looking for a pre-built, ready-to-deploy generative AI solution without needing to understand the underlying ML concepts.
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27
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 27, 2026
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