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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

These fleshed-out web applications are representative end products of data science work. They’re outward facing, something polished that could be presented to enterprise users. They’re outward facing, something polished that could be presented to enterprise users. Not every project requires a fully custom web app.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning - AI

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.