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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.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Falcon 2 11B is now available on Amazon SageMaker JumpStart

AWS Machine Learning

It then sends this payload to a predictor (likely an API), receives the generated text response, and prints it to the console. strip() print(response) The following is the output: The development of transportation systems such as railroads and steamships had a significant impact on global trade and cultural exchange.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

To help you get started, we’ve also released a set of sample one-click deployable Lambda functions ( plugins ) to integrate QnABot with your choice of leading LLM providers, including our own Amazon Bedrock service and APIs from third-party providers, Anthropic and AI21. We expect to add more sample plugins over time.

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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Both HTTP/2 and WebSockets streaming connections are established over Transport Layer Security (TLS), which is a widely accepted cryptographic protocol. Applications must have valid credentials to sign API requests to AWS services. TLS provides authentication and encryption of data in transit using AWS certificates. or later.

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Automate your time series forecasting in Snowflake using Amazon Forecast

AWS Machine Learning

You can effectively use Snowflake Marketplace to monetize your predictive analytics from datasets produced in Amazon Forecast. In short, the service delivers all the science, data handling, and resource management into a simple API call. He has helped technology companies design and implement data analytics solutions and products.

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