Difference between revisions of "Foundation Models (FM)"
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| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
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| + | [https://www.youtube.com/results?search_query=ai+Foundation+Model YouTube] | ||
| + | [https://www.quora.com/search?q=ai%20Foundation%20Model ... Quora] | ||
| + | [https://www.google.com/search?q=ai+Foundation+Model ...Google search] | ||
| + | [https://news.google.com/search?q=ai+Foundation+Model ...Google News] | ||
| + | [https://www.bing.com/news/search?q=ai+Foundation+Model&qft=interval%3d%228%22 ...Bing News] | ||
| − | = AWS == | + | = [[Amazon]] AWS == |
| − | Amazon [[Bedrock]] provides multiple foundation models designed to allow companies to customize and create their own generative AI applications for targeted use cases and commercial use. With Bedrock’s serverless experience, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using the AWS tools and capabilities you are familiar with (including integrations with Amazon [[SageMaker]] ML features like Experiments to test different models and Pipelines to manage your FMs at scale) without having to manage any infrastructure | + | [[Amazon]] [[Bedrock]] provides multiple foundation models designed to allow companies to customize and create their own generative AI applications for targeted use cases and commercial use. With Bedrock’s serverless experience, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using the AWS tools and capabilities you are familiar with (including integrations with Amazon [[SageMaker]] ML features like Experiments to test different models and Pipelines to manage your FMs at scale) without having to manage any infrastructure |
The initial set of foundation models supported by the service include ones from: | The initial set of foundation models supported by the service include ones from: | ||
Revision as of 20:54, 14 April 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
Amazon AWS =
Amazon Bedrock provides multiple foundation models designed to allow companies to customize and create their own generative AI applications for targeted use cases and commercial use. With Bedrock’s serverless experience, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using the AWS tools and capabilities you are familiar with (including integrations with Amazon SageMaker ML features like Experiments to test different models and Pipelines to manage your FMs at scale) without having to manage any infrastructure
The initial set of foundation models supported by the service include ones from:
Microsoft
