Scalable personalization of large deep learning models

import reka

reka.set_key(‘YOUR_API_KEY’)

qa_dataset = reka.add_dataset(
  name=”multiqa_dataset”, content=multiqa_data,
  description=”Multiple choice question answering dataset”)

finetune_job = qa_dataset.finetune(new_model_name=”finetuned_qa_model”)

qa_generate_job = qa_dataset.generate(model=”finetuned_qa_model”
  num=10000, new_name=”generated_multiqa_data”)

unlabeled_qa_dataset = reka.add_dataset(
  name=”unlabeled_multiqa_dataset”, content=unlabeled_multiqa_data,
  description=”A dataset of multiple choice questions”)

annotate_job = unlabeled_qa_dataset.annotate(
  new_name=”reka_annotated_unlabeled_qa_dataset”)