Category: Foundation models

The University of British Columbia (UBC) Cloud Innovation Centre (CIC) has become a hub for innovation by prototyping generative AI applications in collaboration with public sector sponsors. This post highlights how the UBC CIC uses AWS to accelerate generative AI development, sharing lessons learned, tools used, and actionable insights you can apply to your projects.

HSR.health, a pioneer in geospatial health risk prediction, has partnered with AWS to launch a pilot project testing the performance, process, and pricing of fine-tuning the newly announced HAQM Nova foundation model for advanced health risk prediction. Read this post to learn more.

In this post, we discuss Health Kaki, a generative AI health companion using the HAQM Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.

Organizations adopting modern software development activities continue to embrace the advantages of AI and large language models (LLMs), maximizing the productivity of developers. HAQM Q Developer provides you with an AI coding companion that delivers direct access for developers to the AI companion within the integrated development environment (IDE). In this post, we walk you through an example you can use leveraging the power of HAQM Bedrock to provide a coding assistant in your IDE.

Many organizations validate their generative AI–based workloads on their emotional reaction to a foundation model’s output instead of real testing criteria. In this post, we show you how you can move away from vibe testing and effectively evaluate your HAQM Bedrock workloads for production.

Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, HAQM Web Services (AWS) has developed a solution through HAQM Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.

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.