AWS Machine Learning

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. A GitHub account with a repository to store the generated Terraform scripts.

Scripts 117

Scripts APIs Engineering industry standards 117

AWS Machine Learning

JULY 29, 2022

The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks. Build your training script for the Hugging Face SageMaker estimator. script to use with Script Mode and pass hyperparameters for training. to(device).

Scripts 83

Scripts APIs Big data Engineering 83

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

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. This script can be acquired directly from Amazon S3 using aws s3 cp s3://aws-blogs-artifacts-public/artifacts/ML-16363/deploy.sh. us-east-1 or bash deploy.sh

Chatbots 109

Chatbots APIs Engineering Healthcare 109

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

JANUARY 5, 2024

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Wipro has used the input filter and join functionality of SageMaker batch transformation API.

Management 119

Management APIs Engineering Government 119

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. The vectors power speedy, accurate search experiences.

Scripts 108

Scripts APIs Entertainment Engineering 108

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 103

Personalization APIs Scripts Technical Support 103

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 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 114

Real estate APIs Metrics Construction 114

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.

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

VirtualPBX

NOVEMBER 5, 2020

Using The VirtualPBX API to Assist. You can also manage your hooks outside of the VirtualPBX web interface by taking advantage of our API. The VirtualPBX API lets you manage a number of types of data that exist within your phone plan. The VirtualPBX API lets you manage a number of types of data that exist within your phone plan.

Marketing 98

Marketing APIs voip Scripts 98

AWS Machine Learning

MAY 23, 2024

The SMP library uses NVIDIA Megatron to implement expert parallelism and support training MoE models, and runs on top of PyTorch Fully Sharded Data Parallel (FSDP) APIs. With SageMaker training jobs, you can launch and manage clusters of high-performance instances with simple API calls. In this example, we use SageMaker training jobs.

APIs 116

APIs Engineering Scripts Construction 116

AWS Machine Learning

JUNE 27, 2023

This post explains how Provectus and Earth.com were able to enhance the AI-powered image recognition capabilities of EarthSnap, reduce engineering heavy lifting, and minimize administrative costs by implementing end-to-end ML pipelines, delivered as part of a managed MLOps platform and managed AI services.

Engineering 102

Engineering APIs Scripts Entertainment 102

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 87

APIs Engineering Accountability Big data 87

AWS Machine Learning

NOVEMBER 30, 2023

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. Go to the CloudFormation console, choose the stack that you deployed through the deploy script mentioned previously, and delete the stack.

Scripts 103

Scripts APIs Entertainment Accountability 103

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 95

APIs Government Best practices Metrics 95

AWS Machine Learning

SEPTEMBER 14, 2023

Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. Finally, the response is sent back to the user via a HTTPs request through the Amazon API Gateway REST API integration response. The web application front-end is hosted on AWS Amplify.

APIs 103

APIs Healthcare Scripts Engineering 103

AWS Machine Learning

FEBRUARY 19, 2024

The integration of retrieval and generation also requires additional engineering effort and computational resources. For text generation, Amazon Bedrock provides the RetrieveAndGenerate API to create embeddings of user queries, and retrieves relevant chunks from the vector database to generate accurate responses.

Chatbots 105

Chatbots APIs Engineering Enterprise 105

AWS Machine Learning

FEBRUARY 29, 2024

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. The AI platform managed service, built on SageMaker Studio, seamlessly aligns with Deutsche Bahn’s group-wide platform strategy.

APIs 108

APIs Construction Transportation Analytics 108

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.” However, scripting appealing subject lines can often be tedious and time-consuming.

Personalization 112

Personalization Customer Experience APIs Entertainment 112

AWS Machine Learning

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

Best practices 114

Best practices Engineering Chatbots Enterprise 114

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. We will start by using the SageMaker Studio UI and then by using APIs.

Government 78

Government Management APIs Accountability 78

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 103

Scripts APIs Government Analytics 103

AWS Machine Learning

AUGUST 4, 2022

This is a guest post by Viktor Enrico Jeney, Senior Machine Learning Engineer at Adspert. The repricing ML model is a Scikit-Learn Random Forest implementation in SageMaker Script Mode, which is trained using data available in the S3 bucket (the analytics layer). This may be different to the partitioning used on the stage layer.

Scripts 99

Scripts Advertising Engineering Analytics 99

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. In this example, we ingest records using the FeatureGroup.ingest() API, which ingests records from a Pandas DataFrame.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

Accountability 114

Accountability Government Engineering Scripts 114

NobelBiz

MAY 11, 2021

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts 52

Scripts Contact Center Calibration CRM 52

AWS Machine Learning

JUNE 23, 2023

FastAPI is a modern, high-performance web framework for building APIs with Python. Its ease and built-in functionalities like the automatic API documentation make it a popular choice amongst ML engineers to deploy high-performance inference APIs. To build this image locally, we need Docker. file later in this post.

APIs 88

APIs Scripts Engineering Accountability 88

ChurnZero

MARCH 7, 2019

Job Opening: Sales Engineer. Our fast-growing startup is looking for a skilled, self-motivated problem solver to join our team as a Sales Engineer. As a Sales Engineer , you are the technical expert during the sales process. Create and update product demonstration scripts. SaaS/Cloud experience strongly preferred.

Engineering 8

Engineering Sales SaaS APIs 8

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. They use the DJL PyTorch engine to initialize the model predictor.

Engineering 74

Engineering APIs Scripts Education 74

AWS Machine Learning

APRIL 27, 2023

Trainium support for custom operators Trainium (and AWS Inferentia2) supports CustomOps in software through the Neuron SDK and accelerates them in hardware using the GPSIMD engine (General Purpose Single Instruction Multiple Data engine). The scalar and vector engines are highly parallelized and optimized for floating-point operations.

APIs 73

APIs Engineering Scripts Benchmark 73

AWS Machine Learning

DECEMBER 29, 2022

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. This blog focuses on the Rstudio on Amazon SageMaker language, with business analysts, data engineers, data scientists, and all developers that use the R Language and Amazon Redshift, as the target audience. Prerequisites.

APIs 111

APIs Analytics Engineering Scripts 111

AWS Machine Learning

SEPTEMBER 11, 2023

You must also associate a security group for your VPC with these endpoints to allow all inbound traffic from port 443: SageMaker API: com.amazonaws.region.sagemaker.api. This is required to communicate with the SageMaker API. SageMaker runtime: com.amazonaws.region.sagemaker.runtime.

Scripts 104

Scripts APIs Management Best practices 104

AWS Machine Learning

OCTOBER 2, 2023

For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow. Use the scripts created in step one as part of the processing and training steps. We started by creating command line scripts from the experiment code.

Scripts 102

Scripts Construction Engineering APIs 102

AWS Machine Learning

NOVEMBER 14, 2022

You need to complete three steps to deploy your model: Create a SageMaker model: This will contain, among other parameters, the information about the model file location, the container that will be used for the deployment, and the location of the inference script. (If The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 81

Scripts APIs Best practices Engineering 81