AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. One approach to moderate videos is to model video data as a sample of image frames and use image content moderation models to process the frames individually.

APIs 95

APIs Scripts Metrics Surveys 95

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. The workflow steps are as follows: The user authenticates with the Amazon Cognito user pool and receives a token to consume the Studio access API.

APIs 97

APIs Accountability Scripts Enterprise 97

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

APIs 98

APIs Engineering Analytics Scripts 98

AWS Machine Learning

JULY 29, 2022

Amazon Comprehend is a fully managed service that can perform NLP tasks like custom entity recognition, topic modelling, sentiment analysis and more to extract insights from data without the need of any prior ML experience. Build your training script for the Hugging Face SageMaker estimator. return tokenized_dataset. to(device).

Scripts 101

Scripts APIs Big data Engineering 101

AWS Machine Learning

FEBRUARY 8, 2024

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge sources loaded with your data.

APIs 139

APIs Scripts Enterprise Management 139

AWS Machine Learning

JULY 5, 2022

If you use the default lifecycle configuration for your domain or user profile in Amazon SageMaker Studio and use Amazon SageMaker Data Wrangler for data preparation, then this post is for you. Data Wrangler supports standard data types such as CSV, JSON, ORC, and Parquet. For more information, see Jupyter Kernel Gateway.

Scripts 98

Scripts Engineering APIs Consulting 98

AWS Machine Learning

AUGUST 4, 2023

This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce. To use this dataset in your Data Cloud, refer to Create Amazon S3 Data Stream in Data Cloud.

APIs 98

APIs Scripts Management Accountability 98

AWS Machine Learning

DECEMBER 22, 2023

Highly accurate LLMs can require terabytes of training data and thousands or even millions of hours of accelerator compute time to achieve target accuracy. With this latest major version release of SMP, the library simplifies the user experience by aligning its APIs with open source PyTorch.

Scripts 119

Scripts APIs Engineering Finance 119

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 137

Scripts APIs Engineering industry standards 137

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 130

Engineering Scripts Metrics APIs 130

AWS Machine Learning

JANUARY 8, 2024

However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution.

Scripts 122

Scripts Construction APIs Healthcare 122

AWS Machine Learning

JULY 14, 2022

Data scientists often work towards understanding the effects of various data preprocessing and feature engineering strategies in combination with different model architectures and hyperparameters. Data Version Control. These placeholders point to the original data, which is decoupled from source code management.

Scripts 103

Scripts Engineering Metrics APIs 103

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. Amazon Cognito complements these defenses by enabling user authentication and data synchronization.

APIs 114

APIs Scripts Best practices Management 114

AWS Machine Learning

OCTOBER 31, 2022

Data scientists and machine learning engineers are constantly looking for the best way to optimize their training compute, yet are struggling with the communication overhead that can increase along with the overall cluster size. speed up compared to PyTorch’s Fully Sharded Data Parallel (FSDP). on 256 GPUs.

Scripts 94

Scripts Benchmark APIs Engineering 94

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts 124

Scripts APIs Enterprise Accountability 124

AWS Machine Learning

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. The preprocessing data is loaded into MongoDB, which is used as a feature store along with Amazon S3.

Personalization 124

Personalization APIs Scripts Technical Support 124

AWS Machine Learning

MARCH 21, 2023

This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow. Data Wrangler is a low-code tool that facilitates data analysis, preprocessing, and visualization. This post shows how you can use code stored in AWS CodeCommit in the Data Wrangler custom transform step.

Scripts 91

Scripts Banking APIs Best practices 91

AWS Machine Learning

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models.

APIs 98

APIs Engineering Scripts Analytics 98

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. The scripts for fine-tuning and evaluation are available on the GitHub repository.

APIs 124

APIs Scripts Real estate Accountability 124

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs).

APIs 135

APIs Healthcare Scripts Enterprise 135

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- This tutorial also uses a virtual phone number.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. One consistent pain point of fine-tuning is the lack of data to effectively customize these models.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 125

APIs Enterprise Scripts Accountability 125

AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 97

Analytics Engineering Metrics APIs 97

AWS Machine Learning

FEBRUARY 19, 2024

Creators can also customize the model with their own data to output on-brand images in a specific style. It converts images and English text into semantic vectors, capturing meaning and relationships in your data. For Python scripts, you can use the AWS SDK for Python (Boto3). exclusive) to 10.0 Parse and decode the response.

Scripts 131

Scripts APIs Entertainment Engineering 131

AWS Machine Learning

MAY 31, 2024

In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud. Genomic language models Genomic language models represent a new approach in the field of genomics, offering a way to understand the language of DNA.

Biotechnology 115

Biotechnology Scripts Healthcare APIs 115

AWS Machine Learning

MAY 30, 2023

In this post, we focus on data preprocessing using Amazon SageMaker Processing and Amazon SageMaker Data Wrangler jobs. Data preprocessing holds a pivotal role in a data-centric AI approach. Data preparation commonly needs to be integrated from different sources and deal with missing or noisy values, outliers, and so on.

Scripts 94

Scripts Best practices Metrics APIs 94

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 99

Scripts Analytics Accountability Engineering 99

AWS Machine Learning

JANUARY 11, 2023

Refinitiv Data (RD) Libraries provide a comprehensive set of interfaces for uniform access to the Refinitiv Data Catalogue. The library offers multiple layers of abstraction providing different styles and programming techniques suitable for all developers, from low-latency, real-time access to batch ingestions of Refinitiv data.

Scripts 95

Scripts Finance Enterprise Engineering 95

AWS Machine Learning

FEBRUARY 19, 2024

Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers. RAG architecture involves two key workflows: data preprocessing through ingestion, and text generation using enhanced context.

Chatbots 133

Chatbots APIs Engineering Enterprise 133

Nexmo

AUGUST 14, 2019

And thus I thought it’d be fun to design and build something with Nexmo’s Voice and SMS APIs to do just that. data/private.key NEXMO_NUMBER=15551234567. Replace the API Key, API Secret, App ID, and your Nexmo Number. APP_ID=**2xyZ-3aBc** PRIVATE_KEY_PATH=.data/private.key

APIs 63

APIs Scripts Accountability 63

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 123

APIs Scripts Entertainment Personalization 123

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 130

APIs Scripts Accountability Entertainment 130

AWS Machine Learning

OCTOBER 19, 2022

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. The following screenshot shows an example of the data: Fig4: COVID-19 Public dataset.

Analytics 98

Analytics APIs Scripts Government 98

AWS Machine Learning

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. This post focuses on how we can implement MLOps with JumpStart models using JumpStart APIs, Amazon SageMaker Pipelines , and Amazon SageMaker Projects. Create the model.

Scripts 117

Scripts APIs Engineering Enterprise 117

AWS Machine Learning

APRIL 12, 2023

With “Science of Gaming” as their core philosophy, they have enabled a vision of end-to-end informatics around game dynamics, game platforms, and players by consolidating orthogonal research directions of game AI, game data science, and game user research. The already existing solution through Step Functions had limitations.

Scripts 107

Scripts APIs Metrics Best practices 107

AWS Machine Learning

AUGUST 19, 2022

As the behavior of their clients change, they can accumulate large amounts of new data every day. Model iteration is one of a data scientist’s daily jobs, but they face the problem of taking too long to train on large datasets. Data pipelines. x on SageMaker. Accelerate training on multiple instances. 24xlarge, and p4d.24xlarge.

Best practices 101

Best practices APIs Scripts Advertising 101