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

Extracto de la fuente

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 give you more control, but you also manage more of the underlying infrastructure and training frameworks. Sometimes a standard recipe isn’t enough:…