AWS Public Sector Blog
Category: Amazon SageMaker JumpStart
Use modular architecture for flexible and extensible RAG-based generative AI solutions
In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different Retrieval-Augmented Generation (RAG)-based generative AI resources in a flexible way. This solution provides several benefits, along with faster time-to-market and shorter development cycles.
Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas
To improve safety and convenience, transportation agencies amass a substantial volume of data. However, these organizations encounter challenges in data accuracy validation due to issues related to data quality and occasional missing information. With the incorporation of new artificial intelligence and machine learning capabilities from Amazon Web Services (AWS), they can take advantage of no-code solutions to identify and address data gaps.
Generative AI in education: Building AI solutions using course lecture content
The education sector has gone through a transformative technological change in the last few years. First, the pandemic created a rise in e-learning solutions, as teachers and students adopted digital platforms for communicating, teaching and learning, and managing academic information. These solutions show that students all over the world can get quality education over the […]