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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.

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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/*"

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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 79
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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 122
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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 123
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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced. To ensure scalability, we use a Lambda function, which will be exposed through an API endpoint created using Amazon API Gateway.

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Brevo (Formely Sendinblue): Features and Services

JivoChat

Brevo Overview In 2012, Sendinblue was launched as a newsletter service, along the years the company has expanded its service considerably, which led to the name change, as well, Brevo. Use the analytics tools to track how each email performs, and check out key performance indicators (KPIs), like open, click-through, and bounce rates.

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