AWS and Hugging Face expand partnership to make AI more accessible

Are you looking for a way to make AI more accessible and cost-efficient? Look no further! Amazon Web Services (AWS) and Hugging Face have announced an expanded collaboration to accelerate the training and deployment of models for generative AI applications. In this blog post, we’ll explore how the two companies are working together to make AI more accessible to everyone.

The Mission of Hugging Face

Hugging Face has as its mission the need ‘to democratise good machine learning, one commit at a time.’ The company is best known for its Transformers library for PyTorch, TensorFlow and JAX, which can support tasks ranging from natural language processing, to computer vision, to audio. With more than 100,000 free and accessible machine learning models on Hugging Face, the company has been downloaded more than one million times per day by researchers, data scientists, and machine learning engineers.

The AWS and Hugging Face Partnership

The partnership between AWS and Hugging Face means that developers can access tools from Amazon SageMaker, to AWS Trainium, to AWS Inferentia, and optimise the performance of their models for specific use cases at a lower cost. The collaboration between the two companies is aimed at making AI open and accessible to all, and to contribute next-generation models to the global AI community.

The Benefits of the Partnership

Building, training, and deploying large language and vision models is an expensive and time-consuming process that requires deep expertise in machine learning. With the AWS and Hugging Face partnership, generative AI is now accessible to more developers. As Clement Delangue, CEO of Hugging Face, said in a company blog, “Accessibility and transparency are the keys to sharing progress and creating tools to use these new capabilities wisely and responsibly.”

The AWS Perspective

From the AWS perspective, many of their API services require no machine learning for customers, and in some cases, end users may not even realise machine learning is being used to power experiences. Amazon SageMaker was designed as a fully managed service that removes the heavy lifting, complexity, and guesswork from each step of the machine learning process, empowering everyday developers and scientists to successfully use machine learning.

The AI Wars

The announcement of the AWS and Hugging Face partnership can be seen in the context of the AI wars, as the stakes for the biggest of big tech have increased. Microsoft’s moves in the market with OpenAI, and its ChatGPT-influenced Bing have created waves; likewise Google with Bard. With the expanded collaboration between AWS and Hugging Face, it’s clear that the battle ground for the ‘AI wars’ have intensified.

We hope this blog post has given you an insight into the expanded collaboration between AWS and Hugging Face and how it’s making AI more accessible to everyone.

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