Highlights Keywords AI, Machine Learning, Large language Models (LLM), General Purpose graphical processing units (GPGPU), CUDA programming Challenge The training of modern LLMs demand substantial investments, costing millions of dollars in training expenses and consuming vast amounts of energy, resulting in significant carbon emissions. For example, GPT-3’s training cost is estimated at around $12 million. As LLMs continue to evolve, models like GPT-4 have expanded to a staggering 100 trillion parameters, compared to GPT-3’s 175 … Continue reading Success Story: ESPLAG