AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. But how can we implement and integrate this approach to an LLM-based conversational AI?

SQL 131

SQL AWS Analytics Analytics 131

AWS Machine Learning Blog

DECEMBER 4, 2024

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.

AWS 110

AWS AI AI SQL 110

Towards AI

NOVEMBER 9, 2023

Created by Author with Dall-E2 In the previous article, we learned how to set up a prompt able to generate SQL commands from the user requests. Now, we will see how to use Azure OpenAI Studio to create an inference endpoint that we can call to generate SQL commands. Jusct clicking on the Deployment name we can start working.

Azure 121

Azure SQL Data Science Database 121

Data Science Dojo

OCTOBER 10, 2023

A Glimpse into the future : Want to be like a scientist who predicted the rise of machine learning back in 2010? 360 Topics: The event will delve into a wide range of topics including SQL Server, Visual Studio, Artificial Intelligence, DevOps,NET, and more, providing insights into Microsoft Tech and IT.

AI 243

AI AI Data Observability Artificial Intelligence 243

Flipboard

NOVEMBER 24, 2023

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.

Database 159

Database AWS ETL SQL 159

Tableau

DECEMBER 1, 2021

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Even modern machine learning applications should use visual encoding to explain data to people. Nov 2010), which allowed users to drag and drop multiple tables on one sheet. March 2021).

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). Define the aggregate() function to aggregate the data using PySpark SQL and user-defined functions (UDFs). Feature quality is critical to ensure a highly accurate ML model. Group by model_year_status.

ML 130

ML ML AWS SQL 130