AWS Machine Learning Blog

JUNE 18, 2024

The solution harnesses the capabilities of generative AI, specifically Large Language Models (LLMs), to address the challenges posed by diverse sensor data and automatically generate Python functions based on various data formats. The solution only invokes the LLM for new device data file type (code has not yet been generated).

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DagsHub

JULY 25, 2024

A good understanding of Python and machine learning concepts is recommended to fully leverage TensorFlow's capabilities. Further Reading TensorFlow Documentation TensorFlow Tutorials PyTorch PyTorch, developed by Facebook's AI Research Lab (FAIR) , was released in 2016. It is well-suited for both research and production environments.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA platform is used through complier directives and extensions to standard languages, such as the Python cuNumeric library.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

We then also cover how to fine-tune the model using SageMaker Python SDK. FMs through SageMaker JumpStart in the SageMaker Studio UI and the SageMaker Python SDK. Fine-tune using the SageMaker Python SDK You can also fine-tune Meta Llama 3.2 models using the SageMaker Python SDK. You can access the Meta Llama 3.2

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