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Introducing the Official Ansible Collection for Meraki Dashboard API

Cisco - Contact Center

In today’s rapidly evolving digital landscape, organizations are constantly seeking innovative solutions to streamline their network management and maximize operational efficiency. Cisco and Red Hat,… Read more on Cisco Blogs

APIs 98
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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

It starts with a document capture stage to securely collect and store scanned invoices and receipts. AnalyzeExpense is an API dedicated to processing invoice and receipts documents. It is available both as a synchronous or asynchronous API. It is available both as a synchronous or asynchronous API.

APIs 92
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs 101
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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

This requires searching over large collections of documents with diverse content, such as website data, which can include various topics such as sustainability, leadership, financial results, and more. You have the option to override it to use either hybrid or semantic search in the API.

APIs 111
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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%.

Scripts 100
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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

Filters on the release version, document type (such as code, API reference, or issue) can help pinpoint relevant documents. In the Vector database section, take note of the collection ARN. Delete the vector database: On the Amazon OpenSearch Service console, choose Collections under Serverless in the navigation pane.

APIs 107
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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

AWS Machine Learning

Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). The following table shows the moderation labels, content type, and confidence scores returned in the API response. Graphic Violence L2 92.6% Explosions and Blasts L3 92.6%

APIs 107