Artificial intelligence (AI) is proliferating into every corner of our lives. The demand for products and services powered by AI algorithms has skyrocketed alongside the popularity of large language models (LLMs) like ChatGPT, and image generation models like Stable Diffusion. With this increase in popularity, however, comes an increase in scrutiny over the computational and environmental costs of AI, and particularly the subfield of deep learning.
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