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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Third, we’ll explore the robust infrastructure services from AWS powering AI innovation, featuring Amazon SageMaker , AWS Trainium , and AWS Inferentia under AI/ML, as well as Compute topics.

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Transitioning from Amazon Rekognition people pathing: Exploring other alternatives

AWS Machine Learning Blog

New customers will not be able to access the capability effective October 24, 2024, but existing customers will be able to use the capability as normal until October 31, 2025. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

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Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

AWS Machine Learning Blog

Previously, setting up a custom labeling job required specifying two AWS Lambda functions: a pre-annotation function, which is run on each dataset object before it’s sent to workers, and a post-annotation function, which is run on the annotations of each dataset object and consolidates multiple worker annotations if needed.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning Blog

For this post, we run the code in a Jupyter notebook within VS Code and use Python. Prerequisites Before you dive into the integration process, make sure you have the following prerequisites in place: AWS account – You’ll need an AWS account to access and use Amazon Bedrock. We walk through a Python example in this post.

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John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

John Snow Labs’ Medical Language Models is by far the most widely used natural language processing (NLP) library by practitioners in the healthcare space (Gradient Flow, The NLP Industry Survey 2022 and the Generative AI in Healthcare Survey 2024 ). If you don’t have an active AWS Marketplace subscription, choose Subscribe.

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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence

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Latest Developments (2024–2025): Unified error analysis now provides a rigorous breakdown of PINN errors, shifting emphasis to more effective training strategies. 2024) Physics-Informed Neural Networks and Extensions , Raissi et al. 2024) DiffTaichi: Differentiable Programming for Physical Simulation , Hu et al.

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Large Language Models: A Self-Study Roadmap

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billion in 2024 to USD 36.1 However, if you are new to these concepts consider learning them from the following resources: Programming: You need to learn the basics of programming in Python, the most popular programming language for machine learning. LangChain Master Class 2024 - Covers over 20 real-world use cases for LangChain.