Tag: Channy Yun

Today, we are announcing the general availability of the Amazon Titan Image Generator v2 model with new capabilities in Amazon Bedrock. With Amazon Titan Image Generator v2, you can guide image creation using reference images, edit existing visuals, remove backgrounds, generate image variations, and securely customize the model to maintain brand style and subject consistency. This powerful tool streamlines workflows, boosts productivity, and brings creative visions to life. Amazon Titan Image Generator v2 brings a number of new features in addition to all features of Amazon Titan Image Generator v1, including: Image conditioning – Provide a reference image along with a text prompt, resulting in outputs that follow the layout and structure of the user-supplied reference. Image guidance with color…

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…

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…

Today, we’re announcing that a new AWS Region will be coming to Taiwan by early 2025. The new AWS Asia Pacific (Taipei) Region will consist of three Availability Zones at launch, and will give AWS customers in Taiwan the ability to run workloads and store data that must remain in Taiwan. Each of the Availability Zones will be physically independent of the others in the Region – close enough to support applications that need low latency, yet sufficiently distant to significantly reduce the risk that an event at an Availability Zone level might impact business continuity. The Availability Zones in this Region will be connected together through high-bandwidth, low-latency network connections over dedicated, fully redundant fiber. This connectivity supports applications…