AI

3D modeling you can feel

Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often use text or image prompts to dictate different aspects of visual appearance, like color and form. As much as this makes sense as a first point of contact, these systems are still limited in their realism due to their […]

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Norma Kamali is transforming the future of fashion with AI

What happens when a fashion legend taps into the transformative power of artificial intelligence? For more than five decades, fashion designer and entrepreneur Norma Kamali has pioneered bold industry shifts, creating iconic silhouettes worn by celebrities including Whitney Houston and Jessica Biel. Now, she is embracing a new frontier — one that merges creativity with

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Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15

Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4 with support for the vLLM V1 engine. This version now supports the latest open-source models, such as Meta’s Llama 4 models Scout and Maverick, Google’s Gemma 3, Alibaba’s Qwen, Mistral AI, DeepSeek-R, and many more.

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Accuracy evaluation framework for Amazon Q Business – Part 2

In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business, a fully managed Retrieval Augmented Generation (RAG) solution that uses your company’s proprietary data without the complexity of managing large language models (LLMs). The first post focused on selecting appropriate use cases, preparing data, and implementing metrics to

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Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits

In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing, which provides a single serverless endpoint to efficiently route requests between different foundation models within the same model family. To do this, Amazon Bedrock Intelligent Prompt Routing dynamically predicts the response quality of each model for a request and routes the request to

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

This post is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting. Critical insights and expertise are concentrated among thought leaders and experts across the globe. Language barriers often hinder the distribution and comprehension of this knowledge during crucial encounters. Workshops, conferences, and training sessions serve as platforms for collaboration and knowledge

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Amazon Bedrock Prompt Optimization Drives LLM Applications Innovation for Yuewen Group

Yuewen Group is a global leader in online literature and IP operations. Through its overseas platform WebNovel, it has attracted about 260 million users in over 200 countries and regions, promoting Chinese web literature globally. The company also adapts quality web novels into films, animations for international markets, expanding the global influence of Chinese culture.

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Build a location-aware agent using Amazon Bedrock Agents and Foursquare APIs

This post is co-written with Vikram Gundeti and Nate Folkert from Foursquare. Personalization is key to creating memorable experiences. Whether it’s recommending the perfect movie or suggesting a new restaurant, tailoring suggestions to individual preferences can make all the difference. But when it comes to food and activities, there’s more to consider than just personal

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Build an automated generative AI solution evaluation pipeline with Amazon Nova

Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance and outputs of these models is therefore critical to maintaining trust

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Build an automated generative AI solution evaluation pipeline with Amazon Nova

Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance and outputs of these models is therefore critical to maintaining trust

Build an automated generative AI solution evaluation pipeline with Amazon Nova Read More »