Groundbreaking LLM Trained on CPU in Record Time

This research showcases remarkable efficiency in training a Large Language Model (LLM) using only a CPU, achieving impressive results in a short timeframe. The matmul-free approach using ternary weights is particularly innovative, demonstrating potential for widespread accessibility and reduced computational demands in Generative AI. This exciting development promises to make advanced AI models more accessible to researchers and developers.