Tag: AWS Professional Services
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Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities | Amazon Web Services
This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to...
Build a classification pipeline with Amazon Comprehend custom classification (Part I) | Amazon Web Services
“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to...
Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web...
Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE)...
MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services
Maintaining machine learning (ML) workflows in production is a challenging task because it requires creating continuous integration and continuous delivery (CI/CD) pipelines for ML...
Generate creative advertising using generative AI deployed on Amazon SageMaker | Amazon Web Services
Creative advertising has the potential to be revolutionized by generative AI (GenAI). You can now create a wide variation of novel images, such as...
AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company | Amazon Web Services
The video gaming industry has an estimated user base of over 3 billion worldwide1. It consists of massive amounts of players virtually interacting with...
Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition | Amazon Web Services
Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content...
Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra | Amazon Web Services
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees...
Retain original PDF formatting to view translated documents with Amazon Textract, Amazon Translate, and PDFBox | Amazon Web Services
Companies across various industries create, scan, and store large volumes of PDF documents. In many cases, the content is text-heavy and often written in...
Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library | Amazon Web Services
GPT-J is an open-source 6-billion-parameter model released by Eleuther AI. The model is trained on the Pile and can perform various tasks in language...
Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart | Amazon Web Services
Customers expect quick and efficient service from businesses in today’s fast-paced world. But providing excellent customer service can be significantly challenging when the volume...
Expedite the Amazon Lex chatbot development lifecycle with Test Workbench | Amazon Web Services
Amazon Lex is excited to announce Test Workbench, a new bot testing solution that provides tools to simplify and automate the bot testing process....
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