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

AWS Machine Learning

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 102
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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language. We do so using AWS SDK for Python (Boto3) CreateProcessingJob API calls.

Scripts 144
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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

Big data 116
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How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances

AWS Machine Learning

cuDF is used for loading, joining, aggregating, filtering, and otherwise manipulating data, in a pandas -like API that accelerates the work on dataframes, using CUDA for significantly faster performance than pandas. Prior to joining virtuswap, he worked in the data science field and was an analytics ambassador lead at dydx foundation.

APIs 141
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Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

Run the fine-tuning job using the Amazon Bedrock API Make sure to request access to the preview of Anthropic Claude 3 Haiku fine-tuning in Amazon Bedrock, as discussed in the prerequisites. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account.

APIs 129
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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

AWS Machine Learning

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates.

APIs 98
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Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. Each application is configured with the Amazon API Gateway endpoint URL as its SAML backend. The API Gateway calls an SAML backend API. Custom SAML 2.0