AWS Machine Learning

JULY 2, 2024

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. The request is sent by the web application to the API.

APIs 116

APIs Scripts Enterprise Engineering 116

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 79

APIs Engineering Analytics Scripts 79

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 83

Scripts APIs Big data Engineering 83

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 107

Scripts APIs Engineering Finance 107

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

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 113

Engineering Scripts Metrics APIs 113

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 117

Scripts APIs Engineering industry standards 117

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 70

APIs Accountability Scripts Enterprise 70

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 80

Scripts Engineering APIs Consulting 80

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 66

APIs Scripts Metrics Surveys 66

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 121

APIs Healthcare Scripts Enterprise 121

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 114

APIs Enterprise Scripts Accountability 114

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 78

APIs Scripts Management Accountability 78

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 107

APIs Scripts Real estate Accountability 107

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 103

Scripts APIs Enterprise Accountability 103

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 103

Personalization APIs Scripts Technical Support 103

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 97

Scripts Construction APIs Healthcare 97

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 80

Scripts Engineering Metrics APIs 80

AWS Machine Learning

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. The AI platform team’s key objective is to ensure seamless access to Workbench services and SageMaker Studio for all Deutsche Bahn teams and projects, with a primary focus on data scientists and ML engineers.

APIs 108

APIs Construction Transportation Analytics 108

JivoChat

JANUARY 31, 2023

Data-driven decisions are essential in businesses to diminish the chances of errors, and online data analyst courses will teach you how to interpret data precisely. There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow.

Analytics 75

Analytics APIs Big data Scripts 75

VirtualPBX

NOVEMBER 5, 2020

Webhooks capture phone system data and let you deliver that information to other services. The process is straightforward in that you choose a trigger event (like SMS) and a server that will receive data when the trigger is activated (a URL you specify). It’s the place where your chosen hook will send its data.

Marketing 98

Marketing APIs voip Scripts 98

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 108

Scripts APIs Entertainment Engineering 108

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 73

APIs Engineering Scripts Analytics 73

Spearline

JULY 21, 2022

And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. And all of this data can be broken down further by probe (browser). You can drill down into any of the users for more detailed information as well as check additional channel data.

Scripts 98

Scripts APIs Metrics Analytics 98

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 105

APIs Scripts Entertainment Personalization 105

AWS Machine Learning

MAY 23, 2024

With this architecture, the experts specialize in processing different aspects of the input data. During training, different data is routed to the different devices, with each device handling the computation for the experts it contains. A trainable gate network called a router determines which input tokens are sent to which expert.

APIs 116

APIs Engineering Scripts Construction 116

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 110

APIs Scripts Accountability Entertainment 110

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 90

Biotechnology Scripts Healthcare APIs 90

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. The following figure shows both versions of these patterns.

Scripts 103

Scripts APIs Government Analytics 103

AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 95

APIs Government Best practices Metrics 95

AWS Machine Learning

OCTOBER 14, 2024

Amazon OpenSearch Service is a powerful, highly flexible search engine that allows users to retrieve data based on a variety of lexical and semantic retrieval approaches. Embed a concatenation of the original question and the text description with the Amazon Titan Text Embeddings Retrieve relevant text data from OpenSearch Service.

Chatbots 109

Chatbots APIs Engineering Healthcare 109

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 65

Scripts Benchmark APIs Engineering 65

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 80

Analytics APIs Scripts Government 80

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 105

Chatbots APIs Engineering Enterprise 105

AWS Machine Learning

NOVEMBER 30, 2023

Multimodal models can understand and analyze data in multiple modalities such as text, image, video, and audio. The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script.

Scripts 103

Scripts APIs Entertainment Accountability 103

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 62

Scripts Banking APIs Best practices 62

AWS Machine Learning

SEPTEMBER 11, 2023

SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x.

Scripts 104

Scripts APIs Management Best practices 104