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Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. Use Amazon Athena SQL queries to provide insights. The structured dataset includes order information for products spanning from 2010 to 2017.
This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.
Chris had earned an undergraduate computerscience degree from Simon Fraser University and had worked as a database-oriented software engineer. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases.
Chris had earned an undergraduate computerscience degree from Simon Fraser University and had worked as a database-oriented software engineer. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases.
In addition to the tools presented here, you can create additional generative AI tools to query SQL data bases or analyze other industry-specific formats. Yingwei Yu is an Applied Science Manager at Generative AI Innovation Center, AWS, where he leverages machine learning and generative AI to drive innovation across industries.
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