It’s time to make AI open and accessible to all. That’s the goal of this expanded long-term strategic partnership between Hugging Face and Amazon Web Services (AWS). Together, the 2 leaders aim to speed up the supply of next-generation machine learning models by making them more accessible to the machine learning community and helping developers achieve the very best performance at the bottom cost.
A brand new generation of open, accessible AI
Machine learning is quickly becoming embedded in all applications. As its impact on every sector of the economy comes into focus, it’s more essential than ever to make sure every developer can access and assess the newest models. The partnership with AWS paves the best way toward this future by making it faster and easier to construct, train, and deploy the newest machine learning models within the cloud using purpose-built tools.
There have been significant advances in recent Transformer and Diffuser machine learning models that process and generate text, audio, and pictures. Nonetheless, most of those popular generative AI models should not publicly available, widening the gap of machine learning capabilities between the most important tech firms and everybody else. To counter this trend, AWS and Hugging Face are partnering to contribute next-generation models to the worldwide AI community and democratize machine learning. Through the strategic partnership, Hugging Face will leverage AWS as a preferred cloud provider so developers in Hugging Face’s community can access AWS’s state-of-the-art tools (e.g., Amazon SageMaker, AWS Trainium, AWS Inferentia) to coach, fine-tune, and deploy models on AWS. This may allow developers to further optimize the performance of their models for his or her specific use cases while lowering costs. Hugging Face will apply the newest in progressive research findings using Amazon SageMaker to construct next-generation AI models. Together, Hugging Face and AWS are bridging the gap so the worldwide AI community can profit from the newest advancements in machine learning to speed up the creation of generative AI applications.
“The long run of AI is here, but it surely’s not evenly distributed,” said Clement Delangue, CEO of Hugging Face. “Accessibility and transparency are the keys to sharing progress and creating tools to make use of these recent capabilities correctly and responsibly. Amazon SageMaker and AWS-designed chips will enable our team and the larger machine learning community to convert the newest research into openly reproducible models that anyone can construct on.”
Collaborating to scale AI within the cloud
This expanded strategic partnership enables Hugging Face and AWS to speed up machine learning adoption using the newest models hosted on Hugging Face with the industry-leading capabilities of Amazon SageMaker. Customers can now easily fine-tune and deploy state-of-the-art Hugging Face models in only a couple of clicks on Amazon SageMaker and Amazon Elastic Computing Cloud (EC2), profiting from purpose-built machine learning accelerators including AWS Trainium and AWS Inferentia.
“Generative AI has the potential to remodel entire industries, but its cost and the required expertise puts the technology out of reach for all but a select few firms,” said Adam Selipsky, CEO of AWS. “Hugging Face and AWS are making it easier for patrons to access popular machine learning models to create their very own generative AI applications with the very best performance and lowest costs. This partnership demonstrates how generative AI firms and AWS can work together to place this progressive technology into the hands of more customers.”
Hugging Face has develop into the central hub for machine learning, with greater than 100,000 free and accessible machine learning models downloaded greater than 1 million times day by day by researchers, data scientists, and machine learning engineers. AWS is by far the preferred place to run models from the Hugging Face Hub. For the reason that start of our collaboration, Hugging Face on Amazon SageMaker has grown exponentially. We’re experiencing an exciting renaissance with generative AI, and we’re just getting began. We look ahead to what the long run holds for Hugging Face, AWS, and the AI community.
