NLP@AWS Newsletter 04/2022

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • amazon-sagemaker-examples

    Example šŸ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using šŸ§  Amazon SageMaker.

  • Train EleutherAI GPT-J using SageMaker EleutherAI released GPT-J 6B as an open-source alternative to OpenAI's GPT-3. EleutherAIā€™s goal was to train a model that is equivalent in size to GPTā -ā 3 and make it available to the public under an open license and has since gained a lot of interest from Researchers, Data Scientists, and even Software Developers. This notebook shows you how to easily train and tune GPT-J using Amazon SageMaker Distributed Training and Hugging Face on NVIDIA GPU instances.

  • hugging-face-workshop

    A 90-minute hands on workshop about Hugging Face on SageMaker.

  • Hugging Face on Amazon SageMaker and AWS Workshop Interested to use NLP to generate models in the style of your favourite poets? This workshop shows you how you can fine tune text generation models in the style of your favourite poets using Hugging Face on Amazon SageMaker.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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