All posts tagged with 'SageMaker'
Combining data from different sources with SageMaker pipelines
Generating datasets for machine learning Preparing data and generating datasets is a crucial step to train a machine learning model. If you are lucky your data might come from a single .csv file. However in most cases pulling together the input features to train your machine learning model will require combining datasets from different sources. Combining data from different sources manually can be a time consuming process, prone to errors. … Continue reading
Training Hugging Face models in parallel with SageMaker
In this post I'll describe how we train our Hugging Face models in a fraction of the time with a data parallel approach. Continue reading
Fine-Tuning BERT for multiclass categorisation with Amazon SageMaker
This post describes our approach to fine-tuning a BERT model for multiclass categorisation with Hugging Face and Amazon SageMaker. Continue reading