Remove category industries media-and-entertainment
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LLM Use-Cases: Top 10 industries that can benefit from using large language models

Data Science Dojo

Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile. These models significantly expand the purview of AI across industries and businesses, poised to usher in a new era of innovation, ingenuity, and efficiency.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning Blog

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. Solution overview Let’s imagine a scenario where a movie entertainment company promotes movies to different users via an email campaign.

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Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

AWS Machine Learning Blog

From generating images to editing them, text-to-image models have broad applications across industries. Similarly, it can aid in design across various industries such as manufacturing, fashion design in retail, and game design by streamlining the generation of graphics and illustrations. It is available in US East (N.

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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning Blog

Although this post focuses on autonomous driving, the concepts discussed are applicable broadly to domains that have rich vision-based applications such as healthcare and life sciences, and media and entertainment. Visual prompts can include bounding boxes or masks that guide vision models in generating relevant and accurate outputs.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. The following figure illustrates the topics we discuss.

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How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months

AWS Machine Learning Blog

The telecommunications industry is more competitive than ever before. For more about how Axiata uses AWS services, see Axiata Selects AWS as its Primary Cloud Provider to Drive Innovation in the Telecom Industry Challenges with understanding customer churn The Sri Lankan telecom market has high churn rates due to several factors.

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