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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

AWS Machine Learning

OpenSearch is a distributed open-source search and analytics engine composed of a search engine and vector database. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account. We encourage you to test the notebook in your own account and get firsthand experience with hybrid search variations.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

When preparing the answer, take into account the following text: {context} ] Before answering the question, think through it step-by-step within the tags. nn en nn nnAWS (Amazon Web Services) is a cloud computing platform that offers a broad set of global services including computing, storage, databases, analytics, machine learning, and more.

APIs 114
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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning

Prerequisites To use this feature, make sure that you have satisfied the following requirements: An active AWS account. models enabled in your Amazon Bedrock account. It requires sophisticated visual reasoning to interpret data visualizations and answer numerical and analytical questions about the presented information.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*" elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

Big data 119
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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

Prerequisites To implement the proposed solution, make sure that you have the following: An AWS account and a working knowledge of FMs, Amazon Bedrock , Amazon SageMaker , Amazon OpenSearch Service , Amazon S3 , and AWS Identity and Access Management (IAM). Display results : Display the top K similar results to the user.

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How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances

AWS Machine Learning

The challenge The VirtuSwap Minerva engine creates recommendations for optimal distribution of liquidity between different liquidity pools, while taking into account multiple parameters, such as trading volumes, current market liquidity, and volatilities of traded assets, constrained by a total amount of liquidity available for distribution.

APIs 142
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. With built-in analytics and reports, managers can track agent performance to improve effectiveness all around. Smitha obtained her license as CPA in 2007 from the California Board of Accountancy.