Deploy Qwen models with Amazon Bedrock Custom Model Import

We’re excited to announce that Amazon Bedrock Custom Model Import now supports Qwen models. You can now import custom weights for Qwen2, Qwen2_VL, and Qwen2_5_VL architectures, including models like Qwen 2, 2.5 Coder, Qwen 2.5 VL, and QwQ 32B. You can bring your own customized Qwen models into Amazon Bedrock and deploy them in a fully managed, serverless environment—without having to …

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Build generative AI solutions with Amazon Bedrock

Generative AI is revolutionizing how businesses operate, interact with customers, and innovate. If you’re embarking on the journey to build a generative AI-powered solution, you might wonder how to navigate the complexities involved from selecting the right models to managing prompts and enforcing data privacy. In this post, we show you how to build generative …

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How Netsertive built a scalable AI assistant to extract meaningful insights from real-time data using Amazon Bedrock and Amazon Nova

This post was co-written with Herb Brittner from Netsertive. Netsertive is a leading digital marketing solutions provider for multi-location brands and franchises, helping businesses maximize local advertising, improve engagement, and gain deep customer insights. With a growing demand in providing more actionable insights from their customer call tracking data, Netsertive needed a solution that could …

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Make videos accessible with automated audio descriptions using Amazon Nova

According to the World Health Organization, more than 2.2 billion people globally have vision impairment. For compliance with disability legislation, such as the Americans with Disabilities Act (ADA) in the United States, media in visual formats like television shows or movies are required to provide accessibility to visually impaired people. This often comes in the …

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Training Llama 3.3 Swallow: A Japanese sovereign LLM on Amazon SageMaker HyperPod

This post is based on a technical report written by Kazuki Fujii, who led the Llama 3.3 Swallow model development. The Institute of Science Tokyo has successfully trained Llama 3.3 Swallow, a 70-billion-parameter large language model (LLM) with enhanced Japanese capabilities, using Amazon SageMaker HyperPod. The model demonstrates superior performance in Japanese language tasks, outperforming …

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