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Announcing New Tools for Building with Generative AI on AWS

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At AWS, we have played a key role in democratizing ML and making it accessible to anyone who wants to use it, including more than 100,000 customers of all sizes and industries. AWS has the broadest and deepest portfolio of AI and ML services at all three layers of the stack. Today’s FMs, such as the large language models (LLMs) GPT3.5

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Data Science News from Microsoft Ignite 2019

Data Science 101

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Azure Synapse. I think this announcement will have a very large and immediate impact. R Support for Azure Machine Learning.

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Cloud Data Science News Beta #1

Data Science 101

SQL Server 2019 SQL Server 2019 went Generally Available. If you are at a University or non-profit, you can ask for cash and/or AWS credits. AWS Parallel Cluster for Machine Learning AWS Parallel Cluster is an open-source cluster management tool. Google Cloud.

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How healthcare payers and plans can empower members with generative AI

AWS Machine Learning Blog

From a broad perspective, the complete solution can be divided into four distinct steps: text-to-SQL generation, SQL validation, data retrieval, and data summarization. A pre-configured prompt template is used to call the LLM and generate a valid SQL query. The following diagram illustrates this workflow.

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning Blog

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. Our final solution is a combination of these text-to-SQL and text-RAG approaches. The following table contains some example responses.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning Blog

These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL. Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS. She innovates and applies machine learning to help AWS customers speed up their AI and cloud adoption.