From training new models to deploying them in production, Amazon SageMaker offers the most complete set of tools for startups and enterprises to harness the power of machine learning (ML) and Deep Learning.
With its Transformers open-source library and ML platform, Hugging Face makes transfer learning and the latest ML models accessible to the global AI community, reducing the time needed for data scientists and ML engineers in companies around the world to take advantage of every new scientific advancement.
Applying Transformers to new NLP tasks or domains requires fine-tuning of large language models, a technique leveraging the accumulated knowledge of pre-trained models to adapt them to a new task or specific type of documents in an additional, efficient training process.
Fine-tuning the model to produce accurate predictions for the business problem at hand requires the training of large Transformers models, for example, BERT, BART, RoBERTa, T5, which can be

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