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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results.

APIs 137
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Americas FSI Digital Commentary: 3 Ways to Accelerate Digital Strategy in 2023

Cisco - Contact Center

Define – Business Model Innovation / Industry Transformation, Machine 2 Machine; Augmented Decisions / Self Learning Analytics; Inventory Digital Assets; New Growth and Constant Innovation. Accelerated Digital Transformation Framework. Are IT and the lines of business in alignment? Cybersecurity Readiness Assessment.

Banking 133
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning

These managed agents act as intelligent orchestrators, coordinating interactions between foundation models, API integrations, user questions and instructions, and knowledge sources loaded with your proprietary data. An agent uses action groups to carry out actions, such as making an API call to another tool. The current ratio of 0.94

APIs 134
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Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs. We specifically focus on SageMaker with MLflow.

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How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

AWS Machine Learning

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. About Clearwater Analytics Clearwater Analytics (NYSE: CWAN) stands at the forefront of investment management technology. Crystal shares CWICs core functionalities but benefits from broader data sources and API access.