Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

Favorite In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. This traditional approach poses several challenges: it heavily depends on manual processes, struggles to efficiently scale with increasing customer demands,

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Shared by AWS Machine Learning March 15, 2024

Best practices to build generative AI applications on AWS

Favorite Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. In

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Shared by AWS Machine Learning March 14, 2024

The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

Favorite This is a guest post co-written with Scott Gutterman from the PGA TOUR. Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. Given

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Shared by AWS Machine Learning March 14, 2024

Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

Favorite Advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing the financial industry for use cases such as fraud detection, credit worthiness assessment, and trading strategy optimization. To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk

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Shared by AWS Machine Learning March 13, 2024

Gemma is now available in Amazon SageMaker JumpStart 

Favorite Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models, trained on up to 6 trillion tokens of text. The Gemma family consists of two sizes: a 7 billion parameter model and

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Shared by AWS Machine Learning March 13, 2024

Run an audience overlap analysis in AWS Clean Rooms

Favorite Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and

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Shared by AWS Machine Learning March 12, 2024