Category: Artificial Intelligence

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.

Last week, AWS Heroes from around the world gathered to celebrate the 10th anniversary of the AWS Heroes program at Global AWS Heroes Summit. This program recognizes a select group of AWS experts worldwide who go above and beyond in sharing their knowledge and making an impact within developer communities. Matt Garman, CEO of AWS […]

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 […]

Store, index, retrieve, and search vectors with in-memory performance for use cases like retrieval augmentation, semantic caching, and anomaly detection through single-digit millisecond queries.

Effortlessly build apps with AI-powered low-code tools, enabling organizations to create secure custom apps in minutes without dev teams – streamlining processes like claims, inventory, and approvals.

Craft generative AI apps from conversations using natural language and approved data sources. Customize securely shared apps, specifying data sources per card and new APIs for programmatic app management.

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.