"Amazon's AI Advancements: Text-to-SQL, Vector Search, Chip Focus, and Trainium2's Training Boost"

1 min read
Source: The Register
"Amazon's AI Advancements: Text-to-SQL, Vector Search, Chip Focus, and Trainium2's Training Boost"
Photo: The Register
TL;DR Summary

At the AWS re:Invent conference, Dr. Swami Sivasubramanian, AWS VP of Data and AI, highlighted the importance of high-quality data for AI and showcased features such as generating SQL from text input for Amazon Redshift and adding vector search capabilities to various database managers. AWS is working to incorporate vector capabilities across its portfolio. Sivasubramanian also previewed new features like Amazon Q generative SQL and Titan Image Generator, which allows for background swapping in images. AWS has made commitments to responsible AI, including adding invisible watermarks to AI-generated images to combat misinformation.

Share this article

Reading Insights

Total Reads

0

Unique Readers

9

Time Saved

5 min

vs 6 min read

Condensed

91%

1,04392 words

Want the full story? Read the original article

Read on The Register