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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AWS Python AI AI 113

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. Feature engineering We perform two sets of feature engineering processes to extract valuable information from the raw data and feed it into the corresponding towers in the model: standard feature engineering and fine-tuned SBERT embeddings.

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AWS Deep Learning Deep Learning Machine Learning 102

DagsHub

JULY 25, 2024

A good understanding of Python and machine learning concepts is recommended to fully leverage TensorFlow's capabilities. Integration: Strong integration with Python, supporting popular libraries such as NumPy and SciPy. However, for effective use of PyTorch, familiarity with Python and machine learning principles is a must.

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Deep Learning Deep Learning Machine Learning Machine Learning 52

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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AI AI ML ML 100