Remove AWS Remove Citizen Data Scientist Remove Natural Language Processing
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Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Partner Solutions Architect at AWS.

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An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

Mlearning.ai

The built APP provides an easy web interface to access the large language models with several built-in application utilities for direct use, significantly lowering the barrier for the practitioners to use the LLM’s Natural Language Processing (NLP) capabilities in an amateur way focusing on their specific use cases.

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Predicting the Future of Data Science

Pickl AI

Democratisation of Data : Non-technical users can engage with advanced analytics tools, fostering a culture of data-driven decision-making across all levels of an organisation. Operational Efficiency : Streamlining processes by continuously monitoring performance metrics allows for quick adjustments.