Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs

Fine-tuning a large language model (LLM) today usually forces a tradeoff between training loop control and operational simplicity. With fully managed services you select a base model, provide data and hyperparameters, and the service owns everything else, which works well when a standard, prepackaged recipe fits your problem. Less managed services... Weiterlesen: Write your own training loop — without managing GPUs — with Amazon Sa…