AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. An example of a proprietary model is Anthropic’s Claude model, and an example of a high performing open-source model is Falcon-40B, as of July 2023.

Engineering 106

Engineering Accountability Construction APIs 106

AWS Machine Learning

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

Best practices 115

Best practices Benchmark Transportation Engineering 115

AWS Machine Learning

MAY 7, 2024

As a starting point, you can refer to the model documentation which typically includes recommendations and best practices for prompting the model, and examples provided in SageMaker JumpStart. To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI.

Engineering 92

Engineering Technical Support Chatbots Best practices 92

AWS Machine Learning

MARCH 15, 2024

In Dr. Werner Vogels’s own words at AWS re:Invent 2023 , “every second that a person has a stroke counts.” Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. Stroke victims can lose around 1.9 billion neurons every second they are not being treated.

Healthcare 102

Healthcare Government Best practices Engineering 102