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With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application using Amazon Web Services (AWS) tools without having to manage any infrastructure. Grant the agent permissions to AWS services through the IAM service role.
Fortunately, AWS uses powerful AI/ML applications within Amazon SageMaker AI that can address these needs. Secure data access can also be achieved through AWS PrivateLink , enabling private connections to Amazon S3 without internet exposure.
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With over 30 years in techincluding key roles at Hugging Face, AWS, and as a startup CTOhe brings unparalleled expertise in cloudcomputing and machine learning. A prolific educator, Julien shares his knowledge through code demos, blogs, and YouTube, making complex AI accessible. Julien Simon, Chief Evangelist atArcee.ai
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Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloudcomputing and software as a service (SaaS). How to counter the most risky cloudcomputing threats? Click “Request a Demo.” Click “ See it in action ” and wait for the demo.
However, customers who want to deploy LLMs in their own self-managed workflows for greater control and flexibility of underlying resources can use these LLMs optimized on top of AWS Inferentia2-powered Amazon Elastic ComputeCloud (Amazon EC2) Inf2 instances. Main components The following are the main components of the solution.
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Google Cloud: Empowering AI Innovation Google Cloud is a suite of cloudcomputing services that runs on the same infrastructure that Google uses internally for its end-user products. At ODSC West 2024, Google Cloud will showcase its cutting-edge AI and machine learning capabilities.
As businesses adapt to the evolving digital landscape, cloud migration became an important step toward achieving greater efficiency, scalability and security. Cloud migration is the process of transferring data, applications and on-premises infrastructure to a cloudcomputing environment. Why migrate to the cloud?
As a key contributor to Gradio, an open-source Python library, he is empowering data scientists to create interactive demos with ease, streamlining model sharing and collaboration. Prior to Arcee.ai, Julien was Chief Evangelist at Hugging Face and Global Technical Evangelist at AWS, in addition to serving as CTO at several startups.
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The code for all the steps in this demo is available in the following notebook. His mission is to guarantee that as we continue on an ambitious journey to profoundly transform how cloudcomputing is used and perceived, we keep our feet well on the ground continuing the rapid growth we have enjoyed up until now.
Solution overview The chess demo uses a broad spectrum of AWS services to create an interactive and engaging gaming experience. The following architecture diagram illustrates the service integration and data flow in the demo. This component bridges the gap between the cloud infrastructure and the physical hardware.
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