AWS Machine Learning Blog

JULY 15, 2024

Faced with manual dubbing challenges and prohibitive costs, MagellanTV sought out AWS Premier Tier Partner Mission Cloud for an innovative solution. In the backend, AWS Step Functions orchestrates the preceding steps as a pipeline. Each step is run on AWS Lambda or AWS Batch. She received her Ph.D.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

He is passionate about generative AI and is helping customers unlock business potential and drive actionable outcomes with machine learning at scale. You can also ask the model to combine its knowledge with the knowledge from the graph. 90B Vision model. Outside of work, he enjoys reading and traveling.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. The new Automated Reasoning checks safeguard is available today in preview in Amazon Bedrock Guardrails in the US West (Oregon) AWS Region.

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AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas. Note we have two folders.

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Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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AWS Machine Learning Blog

JULY 23, 2024

For audio logs, choose an S3 bucket to store the logs and assign an AWS Key Management Service (AWS KMS) key for added security. The following is a sample AWS Lambda function code in Python for referencing the slot value of a phone number provided by the user. Choose Manage conversation logs. Select Selectively log utterances.

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Flipboard

FEBRUARY 7, 2023

Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. Studio Lab also launched a new feature at AWS re:Invent 2022 to take the notebooks developed in Studio Lab and run them as batch jobs on a recurring schedule in your AWS accounts.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). Prerequisites To follow this tutorial, you need the following: An AWS account. AWS Identity and Access Management (IAM) permissions. Feature quality is critical to ensure a highly accurate ML model.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. Install the backend AWS Cloud Development Kit (AWS CDK) app : Open the backend folder.

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Mlearning.ai

JUNE 18, 2023

This puts paupers, misers and cheapskates who do not have access to a dedicated deep learning rig or a paid cloud service such as AWS at a disadvantage. Not only do the latest AI models require large amounts of electricity to run, they also require optimal hardware such as dedicated GPUs to run fast.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources. She holds a PhD in theoretical machine learning and enjoys turning cutting-edge research into real-world solutions.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. Due to file size limitations, each data type in the CMS Linkable 2008–2010 Medicare DE-SynPUF database is released in 20 separate samples.

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