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 117

SQL AWS Analytics Analytics 117

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 101

Azure SQL Data Science Database 101

Pickl AI

SEPTEMBER 20, 2024

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Introduction In the realm of database management systems, two prominent players have emerged in the NoSQL landscape: Apache Cassandra and MongoDB. MongoDB is another leading NoSQL database that operates on a document-oriented model.

Database 52

Database Clustering Data Modeling Data Models 52

phData

NOVEMBER 8, 2023

The OAuth framework was initially created and supported by Twitter, Google, and a few other companies in 2010 and subsequently underwent a substantial revision to OAuth 2.0 This allows you to define what your user’s resources should look like and automatically generate (and execute) the Snowflake SQL necessary to create those users.

SQL 52

SQL Azure Data Engineering Data Engineering 52

Flipboard

JULY 23, 2023

Without databases, most software applications would not be possible. Of course, we can’t miss Artificial Intelligence, Deep Learning, Machine Learning, Data Science, HPC, Blockchain, and IoT, which totally relies on data and definitely need a database to store them and process them later.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Database Deep Learning 123

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 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL 93

SQL Database AWS AI 93