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 123

APIs Scripts Enterprise Engineering 123

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 87

APIs Engineering Analytics Scripts 87

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 135

APIs Scripts Finance Real estate 135

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 77

APIs Accountability Scripts Enterprise 77

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 72

APIs Scripts Metrics Surveys 72

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 119

Chatbots APIs Engineering Healthcare 119

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 85

APIs Scripts Management Accountability 85

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 134

APIs Scripts Enterprise Management 134

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 117

Scripts APIs Engineering Finance 117

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 92

Scripts APIs Big data Engineering 92

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container.

Scripts 132

Scripts APIs Engineering Construction 132

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 122

Engineering Scripts Metrics APIs 122

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 112

Scripts APIs Enterprise Accountability 112

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 81

APIs Engineering Scripts Analytics 81

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 87

Scripts Engineering APIs Consulting 87

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 117

APIs Scripts Real estate Accountability 117

Zingtree

MAY 3, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Pause and Resume: If a ticket is transferred, the supervisor or new agent is taken to the last place in the script, and can see the history of the previous steps taken. New Features in Version 11.

Scripts 67

Scripts APIs Feedback Contact Center 67

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 103

Scripts Construction APIs Healthcare 103

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 125

Scripts APIs Engineering industry standards 125

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 67

Scripts Banking APIs Best practices 67

Zingtree

MAY 24, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Benefits of the Zendesk Agent Scripting App. Installing the Agent Scripting App into Zendesk. Installing the Agent Scripting App into Zendesk. Enabling Automatic Script Selection.

Scripts 61

Scripts APIs Real estate Feedback 61

AWS Machine Learning

OCTOBER 23, 2024

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? Generating synthetic data can provide a robust solution, especially when real-world data is scarce or sensitive. Generate synthetic data using Meta Llama 3 on Amazon Bedrock. Open SageMaker Studio.

Metrics 75

Metrics APIs Scripts Engineering 75

AWS Machine Learning

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. cvtColor(frame, cv2.COLOR_RGB2BGR)

Scripts 88

Scripts APIs Analytics Personalization 88

AWS Machine Learning

OCTOBER 15, 2024

This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. In this post, we show how the SageMaker Core SDK simplifies the developer experience while providing API for seamlessly executing various steps in a general ML lifecycle.

APIs 80

APIs Construction Engineering Scripts 80

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

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 112

Personalization APIs Scripts Technical Support 112

AWS Machine Learning

OCTOBER 18, 2024

This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine learning solutions where you can bring you own model (BYOM) and bring your own data (BYOD) to meet varied business requirements across industries. environment. An AWS account.

Scripts 95

Scripts APIs Engineering Marketing 95

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 70

Scripts Benchmark APIs Engineering 70

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 114

APIs Scripts Accountability Entertainment 114

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 89

Scripts Engineering Metrics APIs 89

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 100

Biotechnology Scripts Healthcare APIs 100

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 123

APIs Enterprise Scripts Accountability 123

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 84

APIs Government Best practices Metrics 84

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 70

Scripts Best practices Metrics APIs 70

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 84

Government Management APIs Accountability 84

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

NOVEMBER 19, 2024

This can create challenges when processing text data from highly specialized domains with their own distinct terminology or specialized tasks where intrinsic knowledge of the LLM is not well-suited for solutions such as Retrieval Augmented Generation (RAG). For this post, we use Meta Llama3.1 8B Instruct from Hugging Face as the SLM.

Automotive 88

Automotive Scripts APIs Engineering 88