article thumbnail

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning

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 63
article thumbnail

Top 10 VoIP Dialer Software in 2024 for Your Sales, Support, and Success Teams

JustCall

Custom integrations and workflow automation with public API. On-screen scripts for live calls. Deliver personalized interactions with tailored scripts. For customer support Resolve customer issues quickly with smart call routing. Offer superior support with scripts and call tagging. Multi-level IVR.

voip 40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Enhancing Customer Service Experience

IdeasUnlimited

With the advent of technology and the world-wide web, support representatives need to handle more complex issues including but not limited to providing technical support. Today, call centers are handling much more technical questions and problems whereby the escalations and interactions with the agents have changed in nature.

article thumbnail

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

Best practices We discuss the following best practices in this post: Compute – SageMaker Training is a great API to launch CPU dataset preparation jobs and thousand-scale GPU jobs. The SageMaker jobs APIs, namely SageMaker Training and SageMaker Processing, excel for this type of tasks.