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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 …

Deploy Qwen models with Amazon Bedrock Custom Model Import Read More »

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 …

Build generative AI solutions with Amazon Bedrock Read More »

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 …

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

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 …

Make videos accessible with automated audio descriptions using Amazon Nova Read More »

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 …

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

Today, we’re launching a new Search experiment in Labs – Audio Overviews, which uses our latest Gemini models to generate quick, conversational audio overviews for certa… ​ 

We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 to make ANCESTRA. ​ 

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this …

Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod Read More »

This post was co-written with Suzanne Willard and Makoto Uchida from VideoAmp. In this post, we illustrate how VideoAmp, a media measurement company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot to uncover meaningful insights at scale within media analytics data …

How VideoAmp uses Amazon Bedrock to power their media analytics interface Read More »

These AI tools from Google I/O 2025 are available globally for your experimentation. ​