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Improving air quality with generative AI

AWS Machine Learning Blog

The output data is transformed to a standardized format and stored in a single location in Amazon S3 in Parquet format, a columnar and efficient storage format. With AWS Glue custom connectors, it’s effortless to transfer data between Amazon S3 and other applications.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

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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Top 10 Deep Learning Platforms in 2024

DagsHub

In 2011, H2O.ai Launched by Microsoft, Azure ML provides a comprehensive suite of tools and services to support the entire machine learning lifecycle, from data preparation to model deployment and management. Further Reading and Documentation HuggingFace Transformers Documentation HuggingFace Tutorials H2O.ai Documentation H2O.ai

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Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart

AWS Machine Learning Blog

SageMaker Studio is an IDE that offers a web-based visual interface for performing the ML development steps, from data preparation to model building, training, and deployment. When Jobs resigned in 2011 for health reasons, and died two months later, he was succeeded as CEO by Tim Cook. Apple became the first publicly traded U.S.

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