Bedrock - Revision history

BPeat at 01:58, 15 April 2023

2023-04-15T01:58:48Z

BPeat at 01:51, 15 April 2023

2023-04-15T01:51:54Z

BPeat at 01:50, 15 April 2023

2023-04-15T01:50:06Z

BPeat: /* AWS Foundation Models */

2023-04-15T01:48:25Z

‎AWS Foundation Models

BPeat at 01:44, 15 April 2023

2023-04-15T01:44:37Z

BPeat at 01:42, 15 April 2023

2023-04-15T01:42:21Z

BPeat: /* AWS Foundation Models */

2023-04-15T01:41:58Z

‎AWS Foundation Models

BPeat: /* AWS Foundation Models */

2023-04-15T01:39:48Z

‎AWS Foundation Models

BPeat: /* AWS Foundation Models */

2023-04-15T01:38:25Z

‎AWS Foundation Models

BPeat: /* AWS Foundation Models */

2023-04-15T01:35:17Z

‎AWS Foundation Models

@@ Line 13: / Line 13: @@
 * [https://aws.amazon.com/bedrock Foundation Model API Service] | [[Amazon]]
 * [https://www.aboutamazon.com/news/aws/aws-amazon-bedrock-generative-ai-service Bedrock] | [[Amazon]]
 * [https://docs.aws.amazon.com/machine-learning/index.html Amazon Machine Learning Documentation]
 * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]

← Older revision		Revision as of 01:51, 15 April 2023
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	<youtube>bwNG6-4jCkU</youtube>		<youtube>bwNG6-4jCkU</youtube>
	<youtube>VdjhFuHNjV0</youtube>		<youtube>VdjhFuHNjV0</youtube>
−
−	~~= [[Foundation Models (FM)]] =~~
−
−	~~== 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:~~
−
−	* [https://www.ai21.com/studio AI21 Labs]
−	* [https://www.anthropic.com/index/introducing-claude claude \| Anthropic]
−	* [https://stability.ai/blog/stability-ai-makes-its-stable-diffusion-models-available-on-amazons-new-bedrock-service Stability AI]
−	* [https://aws.amazon.com/bedrock/titan/ Amazon Titan]
−
−	~~<youtube>dBzCGcwYCJo</youtube>~~
−	~~<youtube>zt5QkWZI7KY</youtube>~~
−
−	~~== Microsoft ==~~
−
−	~~<youtube>HQI6O5DlyFc</youtube>~~

@@ Line 19: / Line 19: @@
 * [https://www.techzine.eu/blogs/analytics/104594/amazon-bedrock-offers-developers-access-to-generative-ai-models/. Amazon Bedrock offers developers access to generative AI models | Coen van Eenbergen - Techzine] ... Applying generative AI within applications should be easy with Amazon Bedrock.
-Amazon Bedrock is a new service for building and scaling generative AI applications, which are applications that can generate text, images, audio, and synthetic data in response to prompts. Amazon Bedrock gives customers easy access to foundation models (FMs) from the top AI startup model providers and exclusive access to the Titan family of foundation models developed by AWS.
+Amazon Bedrock is a new service for building and scaling generative AI applications, which are applications that can generate text, images, audio, and synthetic data in response to prompts. Amazon Bedrock gives customers easy access to [[Foundation Models (FM)]]s from the top AI startup model providers and exclusive access to the Titan family of foundation models developed by AWS.
 <youtube>bwNG6-4jCkU</youtube>
 <youtube>VdjhFuHNjV0</youtube>
-= Foundation Models =
+= [[Foundation Models (FM)]] =
 == AWS ==

@@ Line 24: / Line 24: @@
 <youtube>VdjhFuHNjV0</youtube>
-= AWS Foundation Models =
+= Foundation Models =
 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
@@ Line 36: / Line 37: @@
 <youtube>dBzCGcwYCJo</youtube>
 <youtube>HQI6O5DlyFc</youtube>

← Older revision		Revision as of 01:44, 15 April 2023
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	* [https://stability.ai/blog/stability-ai-makes-its-stable-diffusion-models-available-on-amazons-new-bedrock-service Stability AI]		* [https://stability.ai/blog/stability-ai-makes-its-stable-diffusion-models-available-on-amazons-new-bedrock-service Stability AI]
	* [https://aws.amazon.com/bedrock/titan/ Amazon Titan]		* [https://aws.amazon.com/bedrock/titan/ Amazon Titan]
		+
		+	<youtube>dBzCGcwYCJo</youtube>
		+	<youtube>HQI6O5DlyFc</youtube>

← Older revision		Revision as of 01:41, 15 April 2023
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	= AWS Foundation Models =		= AWS Foundation Models =
−	* [https://www.infoworld.com/article/3693468/aws-bedrock-offers-foundation-models-to-build-generative-ai-apps.html AWS' Bedrock offers foundation models to build generative AI apps \| Anirban Ghoshal - InfoWorld] ... designed to let enterprises select foundation models for building their own generative AI applications for targeted use cases and commercial use.
−	* [https://www.techzine.eu/blogs/analytics/104594/amazon-bedrock-offers-developers-access-to-generative-ai-models/. Amazon Bedrock offers developers access to generative AI models]

	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

@@ Line 23: / Line 23: @@
 = AWS Foundation Models =
-* [https://www.infoworld.com/article/3693468/aws-bedrock-offers-foundation-models-to-build-generative-ai-apps.html AWS' Bedrock offers foundation models to build generative AI apps]
+* [https://www.infoworld.com/article/3693468/aws-bedrock-offers-foundation-models-to-build-generative-ai-apps.html AWS' Bedrock offers foundation models to build generative AI apps | Anirban Ghoshal - InfoWorld] ... designed to let enterprises select foundation models for building their own generative AI applications for targeted use cases and commercial use.
 * [https://www.techzine.eu/blogs/analytics/104594/amazon-bedrock-offers-developers-access-to-generative-ai-models/. Amazon Bedrock offers developers access to generative AI models]

@@ Line 26: / Line 26: @@
 * [https://www.techzine.eu/blogs/analytics/104594/amazon-bedrock-offers-developers-access-to-generative-ai-models/. Amazon Bedrock offers developers access to generative AI models]
-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: