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 126

Engineering Scripts Metrics APIs 126

AWS Machine Learning

MARCH 27, 2025

Later, if they saw the employee making mistakes, they might try to simplify the problem and provide constructive feedback by giving examples of what not to do, and why. Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. client = boto3.client("bedrock-runtime",

Education 91

Education Engineering APIs Enterprise 91

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 117

Scripts APIs Entertainment Accountability 117

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 133

APIs Healthcare Scripts Enterprise 133

Spearline

JULY 21, 2022

testingRTC creates faster feedback loops from development to testing. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Let’s take a look. testingRTC is created specifically for WebRTC. Happy days!

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

AUGUST 4, 2022

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). The price recommendations generated by the Lambda predictions optimizer are submitted to the repricing API, which updates the product price on the marketplace.

Scripts 112

Scripts Advertising Engineering Analytics 112

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. We discuss how to create the.tar.gz

APIs 99

APIs Scripts Engineering Accountability 99

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 121

APIs Engineering Scripts Management 121

AWS Machine Learning

JUNE 12, 2024

The customized UI allows you to implement special features like handling feedback, using company brand colors and templates, and using a custom login. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo. For example, you could introduce custom feedback handling features.

APIs 130

APIs Enterprise Accountability Feedback 130

Balto

JANUARY 6, 2025

Qualtrics Qualtrics CustomerXM enables businesses to foster customer-centricity by leveraging customer feedback analytics for actionable insights. Advanced Feedback Mechanism: Qualtrics provides feedback on surveys, enabling you to track survey results easily and make necessary adjustments.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

DECEMBER 29, 2022

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. If you’d like to use the traditional SageMaker Studio experience with Amazon Redshift, refer to Using the Amazon Redshift Data API to interact from an Amazon SageMaker Jupyter notebook. The CloudFormation script created a database called sagemaker.

APIs 125

APIs Engineering Analytics Scripts 125

AWS Machine Learning

AUGUST 30, 2023

In order to run inference through SageMaker API, make sure to pass the Predictor class. pre_trained_model = Model( image_uri=deploy_image_uri, model_data=pre_trained_model_uri, role=aws_role, predictor_cls=Predictor, name=pre_trained_name, env=large_model_env, ) # Deploy the pre-trained model.

Healthcare 132

Healthcare APIs Scripts Metrics 132

AWS Machine Learning

SEPTEMBER 13, 2024

The router initiates an open session (this API is defined by the client; it could be some other name like start_session ) with the model server, in this case TorchServe, and responds back with 200 OK along with the session ID and time to live (TTL), which is sent back to the client. script takes approximately 30 minutes to run.

APIs 90

APIs Engineering Chatbots Scripts 90

AWS Machine Learning

SEPTEMBER 22, 2022

Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. The Targeted Sentiment API provides the sentiment towards each entity.

APIs 78

APIs Contact Center Feedback Analytics 78

AWS Machine Learning

MAY 16, 2023

As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. has also undergone further fine-tuning via a small amount of feedback data. The inference script is prepacked with the model artifact. The deploy method may take a few minutes.

Chatbots 95

Chatbots Scripts APIs Feedback 95

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. Solution Deployment Automation Script The preceding source./create-stack.sh Solution Deletion Automation Script The delete-stack.sh

Scripts 121

Scripts Chatbots Accountability Multi-channel support 121

AWS Machine Learning

JUNE 4, 2024

The workflow includes the following steps: The user runs the terraform apply The Terraform local-exec provisioner is used to run a Python script that downloads the public dataset DialogSum from the Hugging Face Hub. file you have been working in and add the terraform_data resource type, uses a local provisioner to invoke your Python script.

Scripts 130

Scripts Accountability Engineering Best practices 130

AWS Machine Learning

AUGUST 10, 2023

In addition to the SageMaker native events, AWS CloudTrail publishes events when you make API calls, which also streams to EventBridge so that this can be utilized by many downstream automation or monitoring use cases. Input Description Example Home Region The Region where the workloads run. aws/config. aws/config. aws/config.

Scripts 91

Scripts Accountability Metrics APIs 91

AWS Machine Learning

DECEMBER 5, 2023

Amazon Comprehend custom classification API is used to organize your documents into categories (classes) that you define. In this post, the CDE logic invokes the custom APIs of Amazon Comprehend to enrich the documents with identified classes and entities. The Lambda function has permissions to call the Amazon Comprehend APIs only.

APIs 120

APIs Enterprise Accountability Healthcare 120

AWS Machine Learning

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. Load into the SQL database for later querying.

Analytics 123

Analytics APIs Engineering Construction 123

AWS Machine Learning

MAY 9, 2023

Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. SageMaker MMEs offer capabilities for running multiple deep learning or ML models on the GPU at the same time with Triton Inference Server, which has been extended to implement the MME API contract.

APIs 99

APIs Scripts Best practices Enterprise 99

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. Inference requests arrive at the server via either HTTP/REST or by the C API , and are then routed to the appropriate per-model scheduler. script from the following cell.

Engineering 97

Engineering APIs Best practices Scripts 97

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 96

Best practices APIs Metrics Accountability 96

AWS Machine Learning

MARCH 13, 2024

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark 129

Benchmark Scripts APIs Feedback 129

COPC

OCTOBER 26, 2023

However, it’s important to note that LLMs lack true comprehension; their responses rely on their training and feedback. Experts interact with the AI, scoring its responses and providing corrective feedback. They respond based on their training and feedback loop, blurring the lines between knowledge and understanding.

Technology 76

Technology Customer Experience APIs Consulting 76

AWS Machine Learning

OCTOBER 24, 2022

DL scripts often require boilerplate code, notably the aforementioned double for loop structure that splits the dataset into minibatches and the training into epochs. Speedup techniques implemented in Composer can be accessed with its functional API. Composer is available via pip : pip install mosaicml.

Scripts 90

Scripts Enterprise APIs Benchmark 90

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. Writing the scripts to transform the data is typically an iterative process, where fast feedback loops are important to speed up development. Build your pipeline.

Scripts 85

Scripts Engineering Management APIs 85

AWS Machine Learning

JANUARY 19, 2024

One example is an online retailer who deploys a large number of inference endpoints for text summarization, product catalog classification, and product feedback sentiment classification. Then the payload is passed to the SageMaker endpoint invoke API via the BotoClient to simulate real user requests. training.py ).

Metrics 120

Metrics Scripts Benchmark Enterprise 120

AWS Machine Learning

NOVEMBER 23, 2022

Complete the following steps: Download the bootstrap script from s3://emr-data-access-control- /customer-bootstrap-actions/gcsc/replace-rpms.sh , replacing region with your region. Your Studio user’s execution role needs to be updated to allow the GetClusterSessionCredentials API action. SNAPSHOT20221121212949.noarch.rpm. noarch.rpm.

Scripts 91

Scripts APIs Engineering Sales 91

TeleDirect

DECEMBER 4, 2023

Their innovative APIs and cloud connection services are the perfect tools to improve our fantastic call centers. Plus, we develop unique scripts for our agents with your unique verbiage and branding, providing a more cohesive experience for your clients and leads. That’s why we became Twilio help desk partners.

Customer Service 62

Customer Service APIs call center solutions Contact Center 62

AWS Machine Learning

FEBRUARY 12, 2024

Finally, the team’s aspiration was to receive immediate feedback on each change made in the code, reducing the feedback loop from minutes to an instant, and thereby reducing the development cycle for ML models. Evaluate – A PySpark processing job evaluates the model using a custom Spark script.

Engineering 131

Engineering Wait times Metrics Accountability 131

Pointillist

JULY 25, 2018

Those Users that the Stakeholders trust for unvarnished feedback should have enough hands-on experience to be able to provide meaningful feedback. Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. Success Metrics for the Project. Getting Data into Pointillist.

Analytics 93

Analytics Government Metrics APIs 93

aircall

JUNE 11, 2021

Feedback — responses from the receiver based on the sender’s message and communication. 2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. Here’s what to look for: Are they reading call scripts verbatim and in a monotone voice?

voip 62

voip Call Center Telecommunications APIs 62

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs 73

APIs Scripts Engineering Technical Support 73

AWS Machine Learning

MAY 3, 2023

This post mainly covers the second use case by presenting how to back up and recover users’ work when the user and space profiles are deleted and recreated, but we also provide the Python script to support the first use case. This script updates the replication field given the domain and profile name in the table.

Scripts 69

Scripts APIs Accountability Engineering 69

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. Lambda enabled the team to create lightweight functions to run API calls and perform data transformations. If you have feedback about this post, submit it in the comments section. Conclusion.

Analytics 82

Analytics Engineering Metrics APIs 82

AWS Machine Learning

NOVEMBER 16, 2022

Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. This script automates creation of the following AWS resources: VPCs and EKS clusters. Kubeflow on AWS 1.6.1 Amazon Simple Storage Service (Amazon S3) buckets. Install Kubeflow deployments either using Helm charts or Kustomize.

Metrics 79

Metrics Scripts Enterprise APIs 79