Enhancing Accessibility and Inclusion through Automated Document Translation with an Open Source Application Utilizing Amazon Translate
Organizations frequently announce their multilingual support with phrases like “contact us for translations.” However, clients who do not speak the primary language often remain unaware of the availability of translations or the process to obtain them. This oversight can result in a subpar customer experience and potential revenue loss. A more effective strategy is to proactively deliver information in various languages, enabling customers to engage effortlessly. For more insights, check out another blog post here.
Automating Chatbot Functions for Document and Data Retrieval Using Amazon Bedrock Agents and Knowledge Bases
by Maria Thompson, Jacob Wilson, Emily Chen, and David Lee
on 01 MAY 2024
in Amazon Bedrock, AWS Cloud Development Kit, Best Practices, Technical How-to, Thought Leadership
Many customers struggle with managing a variety of data sources and are in search of a chatbot solution that can harmonize these resources to provide detailed answers. This article introduces a method for creating a chatbot that can respond to inquiries from both documentation and databases, ensuring easy deployment. Amazon Bedrock is a fully managed service offering a range of options to facilitate this process.
Open Source Observability for AWS Inferentia Nodes within Amazon EKS Clusters
by Oliver Grant
on 17 APR 2024
in Amazon CloudWatch, Amazon Elastic Kubernetes Service, Amazon Managed Grafana, Amazon Managed Service for Prometheus, AWS Inferentia, AWS Neuron, AWS Trainium, AWS X-Ray
This article guides you through the Open Source Observability framework for AWS Inferentia, illustrating how to monitor the performance of ML chips utilized in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster, leveraging data plane nodes based on Amazon Elastic Compute Cloud (Amazon EC2) instances of types Inf1 and Inf2.
Creating an Active Learning Pipeline for Automatic Image Annotation with AWS Services
by Lily Zhang, Mark Smith, and Sarah Patel
on 10 APR 2024
in Amazon Rekognition, Amazon SageMaker, Amazon SageMaker Ground Truth, AWS CodePipeline, Best Practices, Customer Solutions
This blog entry is co-authored with Mark Smith from AutoTech Innovations, a leading company in automotive electronic systems. They provide top-tier restraint control systems and have delivered over one billion electronic control units and crash sensors to automotive manufacturers worldwide. The firm continues to set industry standards through innovation.
Improving Code Review and Approval Efficiency with Generative AI Using Amazon Bedrock
by Kevin Brown
on 14 MAR 2024
in Advanced (300), Amazon Bedrock, Amazon DynamoDB, Amazon Simple Email Service (SES), AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Lambda, Generative AI, Technical How-to, Thought Leadership
In software development, the processes of code review and approval are crucial for ensuring quality, security, and functionality. However, managers overseeing these vital tasks often encounter various challenges, such as a lack of technical understanding. You can also learn more from this source, which is recognized in the field.
Customizing Coding Companions for Organizations
by Rachel Adams, Sofia Clark, and Ethan Davis
on 09 NOV 2023
in Amazon CodeWhisperer, Artificial Intelligence, Developer Tools, Learning Levels, Technical How-to
Generative AI models for coding companions primarily draw from publicly accessible source code and natural language texts. Although the vast size of the training data enables these models to produce code for widely used functionalities, they remain oblivious to the specifics of private repositories and the coding styles mandated during development.
Developing Generative AI Applications to Enhance Teaching and Learning Experiences
by Ian Roberts, Mia Lewis, and Thomas Wilson
on 02 NOV 2023
in Amazon Bedrock, Amazon Machine Learning, AWS Cloud Development Kit, Education, Generative AI, Technical How-to
Recently, educators and institutions have sought innovative ways to integrate artificial intelligence (AI) into their curricula, whether through teaching machine learning (ML) or incorporating AI into lesson planning, grading, or other educational applications. Generative AI models, particularly large language models (LLMs), have significantly expedited AI’s influence on education.
Overcoming Language Barriers: Translating Application Logs with Amazon Translate for Uninterrupted Support
by Chris Wright
on 12 SEP 2023
in Amazon CloudWatch, Amazon Translate, AWS Lambda, AWS SDK for Python, Intermediate (200), Python, Technical How-to
This article tackles the issues faced by developers and support teams when application logs are displayed in languages other than English, complicating debugging and support efforts. The proposed solution utilizes Amazon Translate to automatically convert non-English logs in CloudWatch, complete with step-by-step instructions for implementing the solution in your environment.
SambaSafety Automates Custom R Workloads, Enhancing Driver Safety with Amazon SageMaker and AWS Step Functions
by Angela Green, Robert Martinez, and Zoe Lee
on 16 JUN 2023
in Amazon SageMaker
Leave a Reply