An Intro To Generative AI Applications with Amazon Bedrock
Amazon Bedrock is a managed service by AWS that helps you build and scale GenAI applications. Bedrock allows you to access FM's (foundation models) that are provided by AWS as well as third-party vendors provides FM's via API calls. Some of the major FM's included in this ever-growing list are FM's such as Cohere and StabilityAI, Meta, AI21Labs, and Anthropic. FMs are used as the baseline at the starting point of a model, which can be used to interpret and understand a language, converse in conversational messaging, and also to generate images based on your prompts. Different FMs have different specializations and are able to produce a range of outputs based on prompts with high levels of accuracy. Stability Duffusion Model by Stability.AI is good for image generation. GPT-4 is used by ChatGPT for natural language. You can adjust the inference parameters, weights, and other parameters specific to the FM and perform model evaluations to further refine the model to match your usecase and organization.
Amazon Bedrock is a managed service by AWS that helps you build and scale GenAI applications. Bedrock allows you to access FM's (foundation models) that are provided by AWS as well as third-party vendors provides FM's via API calls. Some of the major FM's included in this ever-growing list are FM's such as Cohere and StabilityAI, Meta, AI21Labs, and Anthropic.
FMs are used as the baseline at the starting point of a model, which can be used to interpret and understand a language, converse in conversational messaging, and also to generate images based on your prompts.
Different FMs have different specializations and are able to produce a range of outputs based on prompts with high levels of accuracy.
Stability Duffusion Model by Stability.AI is good for image generation.
GPT-4 is used by ChatGPT for natural language.
You can adjust the inference parameters, weights, and other parameters specific to the FM and perform model evaluations to further refine the model to match your usecase and organization.
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