Remove Generative AI Remove Metadata Remove NLP
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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning Blog

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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How to responsibly scale business-ready generative AI

IBM Journey to AI blog

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI?

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Finally, the Lambda function creates two separate files: A sanitized data document in an Amazon Q Business supported format that will be parsed to generate chat responses.

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Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics

AWS Machine Learning Blog

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. Reranking allows GraphRAG to refine and optimize search results.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety. The answer is that generative AI leverages recent advances in foundation models. Watsonx, IBM’s next-generation AI platform, is designed to do just that. But why now?