AWS Machine Learning

JUNE 9, 2022

SageMaker JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that solve common business problems. In this post, we’re excited to announce that all trainable JumpStart models now support incremental training.

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AWS Machine Learning

MAY 30, 2024

Educational tech companies manage large inventories of training videos. The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. The following screenshots show some examples. Detect generic objects and labels using the Amazon Rekognition label detection API.

Advertising 101

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AWS Machine Learning

APRIL 5, 2024

Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). Let’s look at a moderation label detection example for the following image. for example: {"source-ref": "s3://MY-INPUT-BUCKET/1.jpg"} Graphic Violence L2 92.6%

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AWS Machine Learning

AUGUST 3, 2023

For example, on online shopping platforms, the angle at which products are shown in images has an effect on the rate of buying this product. Training ML algorithms for pose estimation requires a lot of expertise and custom training data. Both of the options can be trained on publicly available datasets.

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AWS Machine Learning

FEBRUARY 7, 2024

Select your options and train the model. Deploy the API to make predictions. Collect the historical fraud data to be used to train the fraud detector model, with the following requirements: Data must be in CSV format and have headers. The path is similar to S3://your-bucket-name/example dataset filename.csv.

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AWS Machine Learning

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. You can also refer to our example notebooks to get started. release of the SageMaker model parallel library.

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Help Scout

SEPTEMBER 2, 2021

In our examples below, we’ve chosen to use a SaaS (software as a service) product that helps users build and design websites. An example: At ABC Website Company, we help companies and individuals build beautiful, impactful websites that their customers love. Working with users who want to design sites using our API.

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AWS Machine Learning

MAY 5, 2023

Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. For example, if a user tried to search for a specific type of blue bottle, results of many different types of blue bottles will be displayed.

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Engineering APIs Scripts Enterprise 101

AWS Machine Learning

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker.

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AWS Machine Learning

JULY 11, 2023

With Amazon SageMaker , you can use the @remote decorator to run a SageMaker training job simply by annotating your Python code with an @remote decorator. Train a classification model based on the MNIST dataset using an @remote decorator from the open-source SageMaker Python SDK. and model.py gamma: float = 0.7,

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AWS Machine Learning

JULY 29, 2022

The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. Build and train ML models using a data mesh architecture on AWS. The code for this example is available on GitHub. Data exploration.

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AWS Machine Learning

MARCH 10, 2023

You can also use Amazon SageMaker to train a proprietary fraud detection model. For more information, refer to Train fraudulent payment detection with Amazon SageMaker. Example use cases for this could be payment processing or high-volume account creation. Call the Amazon Fraud Detector API using the GetEventPrediction action.

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APIs Banking Accountability Analytics 113

AWS Machine Learning

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. It is already trained on tens of millions of images across many categories. API Gateway calls the Lambda function to obtain the pet attributes.

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AWS Machine Learning

MAY 23, 2023

Like all AI, generative AI is powered by ML models—very large models that are pre-trained on vast corpora of data and commonly referred to as foundation models (FMs). With tradition ML models, in order to achieve each specific task, you need to gather labeled data, train a model, and deploy that model.

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AWS Machine Learning

NOVEMBER 17, 2023

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. There are charges for Amazon S3 storage, Amazon S3 API calls that Amazon IVS makes on behalf of the customer, and serving the stored video to viewers.

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APIs Engineering Advertising Accountability 87

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. You can train and tune these models. SageMaker JumpStart.

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AWS Machine Learning

NOVEMBER 26, 2023

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” To explore the impact of Amazon Personalize Content Generator in detail, let’s look at two examples.

Personalization 101

Personalization Customer Experience APIs Entertainment 101

AWS Machine Learning

JANUARY 5, 2024

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. Collaboration – Data scientists each worked on their own local Jupyter notebooks to create and train ML models.

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Management APIs Engineering Government 109

AWS Machine Learning

MAY 23, 2024

By utilizing sparse expert subnetworks that process different subsets of tokens, MoE models can effectively increase the number of parameters while requiring less computation per token during training and inference. This enables more cost-effective training of larger models within fixed compute budgets compared to dense architectures.

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AWS Machine Learning

NOVEMBER 15, 2023

One such breakthrough is the Segment Anything Model (SAM) by Meta AI, which has the potential to revolutionize object-level segmentation with zero-shot or few-shot training. It is pre-trained on a massive dataset of 11 million images and 1.1 It is pre-trained on a massive dataset of 11 million images and 1.1

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Engineering APIs Automotive Entertainment 89

AWS Machine Learning

JULY 29, 2022

For example, in the financial services industry, you can use AI and ML to solve challenges around fraud detection, credit risk prediction, direct marketing, and many others. We use an example of a financial service organization to set the context and the use case for this series.

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Government Banking Analytics Accountability 77

AWS Machine Learning

JUNE 15, 2023

It features interactive Jupyter notebooks with self-contained code in PyTorch, JAX, TensorFlow, and MXNet, as well as real-world examples, exposition figures, and math. ACT allows you to customize translation output on the fly by providing tailored translation examples in the form of parallel data.

APIs 74

APIs Benchmark Best practices Engineering 74

AWS Machine Learning

APRIL 4, 2024

Amazon Personalize offers a variety of recommendation recipes (algorithms), such as the User Personalization and Trending Now recipes, which are particularly suitable for training news recommender models. Amazon Personalize has a fixed number of interactions and items dataset features that can be used to train a model.

Personalization 79

Personalization APIs Engineering Metrics 79

AWS Machine Learning

MAY 31, 2023

The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. In such cases, data scientists have to provide these parameters to their ML model training and deployment code manually, by noting down subnets, security groups, and KMS keys.

APIs 78

APIs Scripts Accountability Enterprise 78

Calltools

MAY 29, 2024

AMD is a voice API feature that analyzes the first few seconds of a phone call to identify who or what answers it—a human or a machine. For example, this technology tells you the percentage of calls that go straight to voicemail compared to calls that connect to potential customers. What Is Answering Machine Detection (AMD)?

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Telemarketing Call flow Best practices Contact Center 52

AWS Machine Learning

MARCH 23, 2023

To demonstrate this, we show an example of customizing an Amazon SageMaker Scikit-learn, open sourced, deep learning container to enable a deployed endpoint to accept client-side encrypted inference requests. Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps.

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Scripts APIs Government Analytics 94

AWS Machine Learning

NOVEMBER 7, 2023

However, their training on massive datasets also limits their usefulness for specialized tasks. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

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Enterprise APIs Engineering Accountability 93

AWS Machine Learning

OCTOBER 27, 2023

First, import your dataset of users’ interactions into Amazon Personalize for training. Amazon Personalize automatically trains a model using the Top Picks for You recipe. To compose one-to-many emails, first import your dataset of users’ interactions into Amazon Personalize for training. Dear , Desiring the cozy feel of fall?

Personalization 86

Personalization Marketing APIs Entertainment 86

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

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APIs Healthcare Scripts Enterprise 112

AWS Machine Learning

OCTOBER 10, 2022

During the fully automated model training process, a series of models that have learned patterns of fraud from AWS and Amazon’s own fraud expertise are used to boost your model performance even further. After this, you train your ML model in Amazon Fraud Detector in just a few steps.

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APIs Accountability Metrics Government 70

AWS Machine Learning

SEPTEMBER 6, 2023

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. For this example, we use train.cc_casebooks.jsonl.xz

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Enterprise APIs Real estate Construction 94

AWS Machine Learning

MARCH 27, 2024

However, users would like to adapt the model to unique characteristics in custom datasets that the model is not already trained on. For example, it can aid design and floor planning for architects and allow faster innovation by providing the ability to visualize various designs without the manual process of creating them.

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APIs Accountability Engineering Entertainment 85

AWS Machine Learning

AUGUST 30, 2023

It often takes years of training for doctors to accumulate enough expertise in writing concise and informative radiology report summarizations, further highlighting the significance of automating the process. There are significant benefits to using a pre-trained model. The following figure is an example of a radiology report.

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Healthcare APIs Scripts Metrics 110

AWS Machine Learning

NOVEMBER 21, 2022

Amazon Rekognition offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. In the following sections, we review the new capabilities and their benefits in more detail with some examples. Let’s look at a label detection example for the Brooklyn Bridge.

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APIs Advertising Automotive Personalization 68

AWS Machine Learning

NOVEMBER 17, 2022

This would ensure Yara would train, deploy, and maintain models reliably and efficiently. We provide an overview of the setup, showcasing the process of building, training, deploying, and monitoring ML models for plants around the globe. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC.

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APIs Accountability Metrics Engineering 92

AWS Machine Learning

NOVEMBER 8, 2022

Amazon Rekognition provides pre-trained facial recognition and analysis capabilities for identity verification to your online applications, such as banking, benefits, ecommerce, and much more. The Amazon Rekognition CompareFaces API. For this, we use the Amazon Rekognition CompareFaces API. The default value is NONE.

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APIs Healthcare Banking Accountability 73

AWS Machine Learning

AUGUST 4, 2023

With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models. Custom models can be trained using data from Salesforce Data Cloud accessed through the Amazon SageMaker Data Wrangler connector.

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APIs Engineering Enterprise Technology 73