Category: HAQM Bedrock Knowledge Bases

In this blog post, we explore the AI for Teaching & Learning Framework on AWS, and discuss how it is addressing the evolving needs of higher education in the digital age.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

ZNotes, a social-impact startup on a mission to end educational inequality, primarily reaching young learners aged 14-18, is working to bridge this gap by providing free access to high-quality notes, videos, and quizzes that are co-created with top students to foster a collaborative peer-learning community. With HAQM Web Services (AWS), ZNotes enhances its ability to deliver accessible, high-quality learning experiences, ensuring that students—regardless of their background can receive the support they need to succeed. Read this post to learn more.

HAQM Bedrock is now generally available in the HAQM Web Services (AWS) Top Secret cloud. With authority to operate in the AWS Top Secret Cloud, HAQM Bedrock is providing U.S. Government customers with secure access to foundation models (FMs) and generative artificial intelligence (AI) capabilities within AWS’s classified environment.