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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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The Rapid Rise of Virtual Health Agents in Patient Access

SmartAction

The COVID-19 pandemic is exposing frailties in our already strained US healthcare system. For healthcare providers, this sheds a stark light on what has been apparent for some time – that measures must be taken to ease the burden on healthcare workers, while also ensuring the general public has access to routine and essential health services.

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How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning

The AI/ML architecture for EarthSnap is designed around a series of AWS services: Sagemaker Pipeline runs using one of the methods mentioned above (CodeBuild, API, manual) that trains the model and produces artifacts and metrics. The following diagram shows the EarthSnap AI/ML architecture.

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How Thomson Reuters developed Open Arena, an enterprise-grade large language model playground, in under 6 weeks

AWS Machine Learning

Starting from foundational principles of what is AI and how does ML work, it’s delivering a rolling program of company-wide AI awareness sessions, including webinars, training materials, and panel discussions. Open Arena has been designed to integrate seamlessly with multiple LLMs through REST APIs.

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The Challenges of Maintaining and Upgrading Call Center Infrastructure

NobelBiz

If your human resources department is lagging behind, we encourage you to watch two webinar episodes that can take your game to the next level. Watch our free, on-demand webinar about credit card processing for contact centers. HIPAA mandates strict controls on the storage, transmission, and access of protected health information.

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Getting started with Amazon Titan Text Embeddings

AWS Machine Learning

You can use it via either the Amazon Bedrock REST API or the AWS SDK. She speaks in internal and external conferences such re:Invent, Women in Manufacturing West, YouTube webinars and GHC 23. Because Amazon Titan Text Embeddings is a managed model on Amazon Bedrock , it’s offered as an entirely serverless experience.

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Unified Communications

Enghouse Interactive

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