AWS News Blog
Category: News
Announcing Llama 3.1 405B, 70B, and 8B models from Meta in Amazon Bedrock
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.
AWS Weekly Roundup: Global AWS Heroes Summit, AWS Lambda, Amazon Redshift, and more (July 22, 2024)
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 […]
AWS Weekly Roundup: Advanced capabilities in Amazon Bedrock and Amazon Q, and more (July 15, 2024).
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 […]
Vector search for Amazon MemoryDB is now generally available
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.
Build enterprise-grade applications with natural language using AWS App Studio (preview)
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.
Amazon Q Apps, now generally available, enables users to build their own generative AI apps
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.
Customize Amazon Q Developer (in your IDE) with your private code base
Unlock hyper-relevant code suggestions tailored to your codebase; enhance productivity with Amazon Q Developer’s private customization while maintaining robust data privacy and security standards.
Agents for Amazon Bedrock now support memory retention and code interpretation (preview)
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.