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 125

SQL AWS Analytics Analytics 125

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Prerequisites To follow this tutorial, you need the following: An AWS account. AWS Identity and Access Management (IAM) permissions. Define the aggregate() function to aggregate the data using PySpark SQL and user-defined functions (UDFs). Prior to joining AWS, Ninad worked as a software developer for 12+ years.

ML 118

ML ML AWS SQL 118

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources. LAS Conversational capabilities The basic router handles a single user query and isn’t aware of chat history.

Python 99

Python Machine Learning Machine Learning AI 99

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

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 99

SQL Database AWS AI 99