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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

AWS Machine Learning

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Additionally, if temporary tables or views are used for the data domain, a SQL script is required that, when executed, creates the desired temporary data structures needs to be defined. A domain-specific user prompt.

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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

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How to Choose the Right Call Center for Your Healthcare Practice

TeleDirect

Ask about: Compatibility with your EHR Secure API integration or SFTP data exchange Real-time appointment syncing and status updates Step 6: Review Call Center Staff Training and Specialization Healthcare calls require knowledgeable and empathetic agents. A signed BAA is standard. A: Not necessarily.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. Model customization helps you deliver differentiated and personalized user experiences.

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Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

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Top 7 Features to Look for in a Medical Call Center Service

TeleDirect

Customizable Scripts and Call Flows No two practices are alike. The right medical call center will offer customizable scripting and call flow options that align with your office procedures, from intake protocols to escalation processes. This ensures your patients feel understood and respected.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

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