Operationalize and automate your NLP pipeline with AWS (Level 200)

NLP models often consist of hundreds of millions of model parameters, thus building, training, and optimizing them requires time, resources, and skills. This session outlines how Amazon SageMaker helps you to quickly build and train large NLP models using popular frameworks such as PyTorch. We share the different distributed training and inference for large language models on Amazon SageMaker and explore how to operationalize your NLP pipeline. Download slides »
Speaker: Hariharan Suresh, Senior Solutions Architect, AWS
Duration: 30mins