machine-learning

92 posts

Aetion is a leading provider of decision-grade real-world evidence software to biopharma, payors, and regulatory agencies. In this post, we review how Aetion is using Amazon Bedrock to help streamline the analytical process toward producing decision-grade real-world evidence and enable users without data science expertise to interact with complex real-world datasets.

Javier Beltrán2/6/2025

In this post, we review how Aetion’s Smart Subgroups Interpreter enables users to interact with Smart Subgroups using natural language queries. Powered by Amazon Bedrock and Anthropic’s Claude 3 large language models (LLMs), the interpreter responds to user questions expressed in conversational language about patient subgroups and provides insights to generate further hypotheses and evidence.

Javier Beltrán1/30/2025

In this post, we’ll demonstrate how to configure an Amazon Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by Amazon Q Business to query real-time data and take actions in ServiceNow.

Siddhartha Angara12/18/2024

With the fields of machine learning (ML) and generative AI (GenAI) continuing to rapidly evolve and expand, it has become [...] The post How We Generated Millions of Content Annotations appeared first on Spotify Engineering.

alexandrawei10/21/2024

Explore how Arm’s optimized performance and cost-efficient architecture, coupled with PyTorch, can enhance machine learning operations, from model training to deployment and learn how to leverage CI/CD for machine learning workflows, while reducing time, cost, and errors in the process. The post Streamlining your MLOps pipeline with GitHub Actions and Arm64 runners appeared first on The GitHub Blog.

Scott Arbeit9/11/2024