Beginning the Journey into ML, AI and GenAI on AWS

1

OpenAI

Some examples GenAI: One of the most well-known examples of GenAI is ChatGPT, launched by OpenAI, which became wildly popular overnight and galvanized public attention. Another model from OpenAI, called text-embedding-ada-002, is specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM). However, it’s important to note that generative AI creates artifacts that can be inaccurate or biased, making human validation essential and potentially limiting the time it saves workers. Therefore, end users should be realistic about the value they are looking to achieve, especially when using a service as is.

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2

Amazon SageMaker

Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are ultra-large machine learning models that generative AI relies on. AWS has also launched the Generative AI Innovation Center, which connects AWS AI and ML experts with customers around the world to help them envision, design, and launch new generative AI products and services. Generative AI has the potential to revolutionize the way we create and consume media, but it is important to use it responsibly and ethically.

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3

Amazon Forecast

Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are ultra-large machine learning models that generative AI relies on. AWS has also launched the Generative AI Innovation Center, which connects AWS AI and ML experts with customers around the world to help them envision, design, and launch new generative AI products and services. Generative AI has the potential to revolutionize the way we create and consume media, but it is important to use it responsibly and ethically.

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4

AWS DeepRacer

Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are ultra-large machine learning models that generative AI relies on. AWS has also launched the Generative AI Innovation Center, which connects AWS AI and ML experts with customers around the world to help them envision, design, and launch new generative AI products and services. Generative AI has the potential to revolutionize the way we create and consume media, but it is important to use it responsibly and ethically.

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5

AWS DeepLens

AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs.

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6

AWS DeepComposer

AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs.

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