Remove AWS Remove Natural Language Processing Remove System Architecture
article thumbnail

Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

This solution is available in the AWS Solutions Library. The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing.

AWS 113
article thumbnail

Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Using the AWS Management Console , you can create a recording configuration and link it to an Amazon IVS channel. In this section, we briefly introduce the system architecture.

AWS 108
professionals

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

AWS 86
article thumbnail

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

needed to address some of these challenges in one of their many AI use cases built on AWS. About the authors Tamer Soliman is a Senior Solutions Architect at AWS. He helps Independent Software Vendor (ISV) customers innovate, build, and scale on AWS. In her free time, she likes to go for long runs along the beach.

SQL 168
article thumbnail

How Amazon Shopping uses Amazon Rekognition Content Moderation to review harmful images in product reviews

AWS Machine Learning Blog

The team successfully migrated a subset of self-managed ML models in the image moderation system for nudity and not safe for work (NSFW) content detection to the Amazon Rekognition Detect Moderation API, taking advantage of the highly accurate and comprehensive pre-trained moderation models.

ML 83