Python’s Role in Democratizing AI Open- Source Tools and Eco-Conscious Development
DOI:
https://doi.org/10.15680/IJCTECE.2023.0605002Keywords:
Python, Open-Source Tools, AI Democratization, Green AI, Sustainable AI, Machine Learning Optimization, Energy-Efficient Algorithms, Eco-Conscious Development, TensorFlow, PyTorch, Scikit-LearnAbstract
Python has become the de facto language for AI and machine learning development, significantly contributing to the democratization of AI. Through open-source libraries and frameworks such as TensorFlow, PyTorch, and Scikit-Learn, Python enables developers and researchers to build and deploy sophisticated AI models, irrespective of their computational resources. However, with the growing concerns regarding the environmental impact of large-scale AI models, Python’s role also extends into the realm of eco-conscious development. This paper explores how Python, through its open-source community, facilitates both AI accessibility and sustainability. We investigate Python’s contribution to eco-conscious development, such as model optimization, energy-efficient algorithms, and the integration of green AI practices. By reviewing case studies, the paper highlights the benefits of Python’s ecosystem in building sustainable AI systems that are both high-performing and energy-efficient.
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