AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

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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

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. 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. Xiaofei Ma is an Applied Science Manager in AWS AI Labs.

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AWS Machine Learning Blog

OCTOBER 9, 2023

Although the internal algorithms within Amazon Personalize have been chosen based on Amazon’s experience in the machine learning space, a personalized model doesn’t come pre-loaded with any sort of data and trains models on a customer-by-customer basis. Prerequisites First, we need to have an Amazon SageMaker Studio domain set up.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

AWS provides the most complete set of services for the entire end-to-end data journey for all workloads, all types of data, and all desired business outcomes. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline.

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AWS Machine Learning Blog

AUGUST 11, 2023

SageMaker JumpStart is the ML hub of Amazon SageMaker that provides access to pre-trained foundation models (FMs), LLMs, built-in algorithms, and solution templates to help you quickly get started with ML. Note that by following the steps in this section, you will deploy infrastructure to your AWS account that may incur costs.

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DagsHub

JULY 25, 2024

TensorFlow The Google Brain team created the open-source deep learning framework TensorFlow, which was made available in 2015. TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In 2011, H2O.ai

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AWS Machine Learning Blog

APRIL 18, 2023

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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AWS Machine Learning Blog

APRIL 18, 2023

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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Pickl AI

AUGUST 22, 2024

Overview of TensorFlow TensorFlow , developed by Google Brain, is a robust and versatile deep learning framework that was introduced in 2015. Launched in 2015, Keras was designed to simplify the process of building and experimenting with Deep Learning models. Further Read: Learn Top 10 Deep Learning Algorithms in Machine Learning.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task. You can also ask the model to combine its knowledge with the knowledge from the graph.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Prerequisites To try out this solution using SageMaker JumpStart, you’ll need the following prerequisites: An AWS account that will contain all of your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker. Default for Meta Llama 3.2 1B and Meta Llama 3.2 3B is False. Default for Meta Llama 3.2

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