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AWS Announces Generative AI Innovation Center with $100 million Investment

insideBIGDATA

AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. Amazon Web Services, Inc.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock

AWS Machine Learning Blog

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging.

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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). AWS AI and machine learning (ML) services help address these concerns within the industry. In this post, we share how legal tech professionals can build solutions for different use cases with generative AI on AWS.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning Blog

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks with Magic Commands and a Chat Interface

Flipboard

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain.

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

AWS Machine Learning Blog

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. Alternatively, you can use Amazon DynamoDB , a serverless, fully managed NoSQL database, to store your prompts.

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