A preview is not available for this record, please engage by choosing from the available options ‘download’ or ‘view’ to engage with the material
Description
Many applications, from search result suggestions to text autocorrections to text generation chatbots, use natural language processing (NLP). A great deal of compute power is necessary to power deep learning frameworks for NLP, such as Bidirectional Encoder Representations from Transformers (BERT) and its variations. If your business relies on these workloads and wants to run them in the cloud, selecting the right instance for the job is important because it can lead to speedier text analysis and predictions and can even lead to reduced spending on cloud services.