Favorite In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. These advanced AI systems have transcended their traditional text-based capabilities, now seamlessly integrating multimodal functionalities that expand their reach into diverse applications. models have

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Shared by AWS Machine Learning November 15, 2024

Favorite This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With 21 million customers worldwide, GoDaddy’s global solutions help seamlessly connect entrepreneurs’ identity and presence with commerce, leading to profitable growth.

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Shared by AWS Machine Learning November 15, 2024

Favorite The Cohere Embed multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from their vast amounts of data

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Shared by AWS Machine Learning November 15, 2024

Favorite In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to

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Shared by AWS Machine Learning November 15, 2024

Favorite The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. Responsible AI is a practice of designing, developing, and operating AI systems

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Shared by AWS Machine Learning November 15, 2024

Favorite We are excited to announce the availability of Stability AI’s latest and most advanced text-to-image model, Stable Diffusion 3.5 Large, in Amazon SageMaker JumpStart. This new cutting-edge image generation model, which was trained on Amazon SageMaker HyperPod, empowers AWS customers to generate high-quality images from text descriptions with unprecedented

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Shared by AWS Machine Learning November 14, 2024

Favorite In the rapidly evolving world of generative AI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. By crafting effective prompts, you can harness the full potential of advanced diffusion transformer text-to-image models, enabling you to produce high-quality images that align closely with

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Shared by AWS Machine Learning November 14, 2024

Favorite In the automotive industry, the ability to efficiently assess and address vehicle damage is crucial for efficient operations, customer satisfaction, and cost management. However, manual inspection and damage detection can be a time-consuming and error-prone process, especially when dealing with large volumes of vehicle data, the complexity of assessing

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Shared by AWS Machine Learning November 14, 2024

Favorite Have you ever stumbled upon a breathtaking travel photo and instantly wondered where it was and how to get there? With 1.3 billion international arrivals in 2023, international travel is poised to exceed pre-pandemic levels and break tourism records in the coming years. Each one of these millions of

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Shared by AWS Machine Learning November 14, 2024

Favorite We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM), making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Customers find it challenging to share and access ML models across AWS accounts

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Shared by AWS Machine Learning November 14, 2024