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Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning Blog

The following example is extracted from D2L-en book and D2L-zh book. The following screenshot shows an example of a CSV input file. The first column is the source language data (in English), and the second column is the target language data (in Chinese). On the Amazon Translate console, we can monitor the translation job progress.

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Perform intelligent search across emails in your Google workspace using the Gmail connector for Amazon Kendra

AWS Machine Learning Blog

After you create an Amazon Kendra index, you can create one or many data sources and configure them to start ingesting documents from the data source. In the steps that follow, we create a service account that the Gmail connector uses to index emails. Log in to your organization’s Google Cloud account.

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

You can create a flywheel to use an existing trained model, or Amazon Comprehend can create and train a new model for the flywheel. Flywheel creates a data lake (in Amazon S3) in your account where all the training and test data for all versions of the model are managed and stored.

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Enhancing customer experience: Streamlining orders with custom email notifications in IBM Cloud

IBM Journey to AI blog

To facilitate seamless ordering, they created the email address order@myhandmadesoapshop.com. Step 1: Create an IBM Cloud Event Notifications service instance Log in to your IBM Cloud account. Click Create. Step 2: Create a custom API source Navigate to the Source section within the created event notification instance.

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Unlocking language barriers: Translate application logs with Amazon Translate for seamless support

AWS Machine Learning Blog

However, when these logs are presented in languages other than English, it creates a significant hurdle for developers who can’t read the content, and hinders the support team’s ability to identify and address issues promptly. After creating your log messages, you will be able to see it translated immediately.

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Enhancing Customer Support on WhatsApp: Building a WhatsApp Chatbot with Human Handover using…

Chatbots Life

This integration enables businesses to create a WhatsApp chatbot that can efficiently handle a wide array of customer queries. A customer named Sarah contacted you on WhatsApp business account, inquiring about the availability of the latest smartphone model. Save the JSON file in the same directory as your Python script.

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Google Cloud Run – Tutorial

Data Science Blog

Es wird ein Google Cloud Project benötigt, sowie ein Github Account. Es wird nur ein Google Account benötigt, Neukunden erhalten ein kostenloses Guthaben von 300€ für 90 Tage. Wenn noch nicht vorhanden sollte ein kostenloser Github Account auf Github erstellt werden. und terraform.tfvars.

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