Insight into GPT-4 Training Process, Costs, and Efficiency Concerns

An exploration into the training methods of GPT-4, which involved processing 13 trillion tokens through multiple epochs using advanced parallel processing strategies. The chapter delves into the high cost of cloud-based training, concerns around the efficiency of MOEs in AI models, and the adoption of GPUs by a company to build a similar AI model to GPT-4.