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It is no secret that Amazon Web Services (AWS) and Hugging Face have been collaborating extensively to make Artificial Intelligence (AI) applications more accessible. This partnership has now been expanded to accelerate the training and deployment of models for generative AI applications.

Hugging Face is an AI company that is dedicated to ‘democratising good machine learning, one commit at a time’. It is best known for its Transformer library for PyTorch, TensorFlow, and other frameworks. This library is a set of tools that provide different solutions for machine learning tasks such as text understanding, summarization, question answering and natural language generation.

With this partnership between AWS and Hugging Face, developers of all levels of knowledge can benefit from advanced tools when developing their AI applications. For example, this collaboration can be used to enable seamless deployment of Hugging Face’s NLP models such as GPT-3, GPT-2, BERT, and RoBERTa on AWS. This will make the development and deployment of large-scale machine learning models easier for developers.

In addition, developers can benefit from other services provided by AWS such as its compute, storage, data lake and analytics services to quickly deploy their models. This broad spectrum of advanced tools will enable developers to create sophisticated AI applications with minimal effort.

Overall, the collaboration between AWS and Hugging Face is a great step towards making AI more accessible. This will allow developers to create powerful applications without having to worry about the technical aspects of machine learning.