Today, we are announcing the availability of Llama 3.1 models in Amazon Bedrock. The Llama 3.1 models are Meta’s most advanced and capable models to date. The Llama 3.1 models are a collection of 8B, 70B, and 405B parameter size models that demonstrate state-of-the-art performance on a wide range of industry benchmarks and offer new capabilities for your generative artificial intelligence (generative AI) applications. All Llama 3.1 models support a 128K context length (an increase of 120K tokens from Llama 3) that has 16 times the capacity of Llama 3 models and improved reasoning for multilingual dialogue use cases in eight languages, including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. You can now use three new Llama 3.1…
Tag: AWS News Blog
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 and a long-time supporter of developer communities, made a special appearance for a Q&A session with the Heroes to listen to their feedback and respond to their questions. Here’s an epic photo from the AWS Heroes Summit: As Matt mentioned in his Linkedin post, “The developer community has been core to everything we have done since the beginning of AWS.” Thank you, Heroes, for all…
AWS Weekly Roundup: Advanced capabilities in Amazon Bedrock and Amazon Q, and more (July 15, 2024).
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 Blog writers Veliswa Boya and Sébastien Stormacq were at the AWS Community Day Cameroon last week. They were energized to meet amazing professionals, mentors, and students – all willing to learn and exchange thoughts about cloud technologies. You can access the video replay to feel the vibes or just watch some of the talks! Last week’s launches In addition to the launches at the New York Summit, here are a few others that got my attention. Advanced RAG capabilities Knowledge…
Vector search for Amazon MemoryDB is now generally available
Today, we are announcing the general availability of vector search for Amazon MemoryDB, a new capability that you can use to store, index, retrieve, and search vectors to develop real-time machine learning (ML) and generative artificial intelligence (generative AI) applications with in-memory performance and multi-AZ durability. With this launch, Amazon MemoryDB delivers the fastest vector search performance at the highest recall rates among popular vector databases on Amazon Web Services (AWS). You no longer have to make trade-offs around throughput, recall, and latency, which are traditionally in tension with one another. You can now use one MemoryDB database to store your application data and millions of vectors with single-digit millisecond query and update response times at the highest levels of…