Category: Amazon Machine Learning

When Dr. Swami Sivasubramanian, VP of AI and Data, was an intern at Amazon in 2005, Dr. Werner Vogels, CTO of Amazon, was his first manager. Nineteen years later, the two shared a stage at the VivaTech Conference to reflect on Amazon’s history of innovation—from pioneering the pay-as-you-go model with Amazon Web Services (AWS) to […]

Amazon Titan Image Generator v2 provides unprecedented creative capabilities: image conditioning, color control, background removal, and subject preservation via fine-tuning for brand consistency.

I’m always amazed by the talent and passion of our Amazon Web Services (AWS) community members, especially in their efforts to increase diversity, equity, and inclusion in the tech community. Last week, I had the honor of speaking at the AWS User Group Women Bay Area meetup, led by Natalie. This group is dedicated to […]

The Llama 3.1 models are a collection of 8B, 70B, and 405B parameter size multilingual models that demonstrate state-of-the-art performance on a wide range of industry benchmarks, offering new capabilities for your generative AI applications.

July 16, 2024: Updated link for “IDE workspace context awareness in Amazon Q Developer chat” As expected, there were lots of exciting launches and updates announced during the AWS Summit New York. You can quickly scan the highlights in Top Announcements of the AWS Summit in New York, 2024. My colleagues and fellow AWS News […]

Agents for Amazon Bedrock now offer Memory to retain user context and Code Interpreter to dynamically execute code snippets—whether for data analysis, visualization, or complex problem-solving.

Guardrails for Amazon Bedrock adds hallucination detection and an independent API to fortify generative AI applications with customized guardrails across any model, ensuring responsible and trustworthy outputs.

Enhance company knowledge bases with new Amazon Bedrock connectors for Confluence, Salesforce, SharePoint, and web domains – empowering RAG models with contextual data for more accurate and relevant responses.