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ChatGPT, the rise of generative AI

CIO

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. It’s only one example of generative AI. GPT stands for generative pre-trained transformer. What is ChatGPT?

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. AI delivers a major leap forward. The response data is stored in DynamoDB.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Amazon Lambda : to run the backend code, which encompasses the generative logic.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. This request contains the user’s message and relevant metadata.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.