Teachers and students can use a generative AI solution to create course materials and learn English words and sentences. The solution provides real-time assessments and personalized feedback for students. Teachers can generate questions and answers, create images, save assignments to a database, and browse existing assignments. Students can select assignments, answer questions, check grading scores,…
The use of personally identifiable information (PII) is widespread and includes various types of data that can identify individuals. Detecting and redacting PII is essential for privacy protection and compliance. Failure to do so can lead to significant consequences. The legal system utilizes electronic discovery (eDiscovery) to identify and produce electronically stored information (ESI) in…
Amazon Bedrock is a managed service by AWS that provides access to foundation models (FMs) and tools for customization. It allows developers to build generative AI applications using FMs through an API, without infrastructure management. To ensure data privacy, customers can establish a private connection between their VPC and Amazon Bedrock using VPC endpoints powered…
The Amazon SageMaker JumpStart SDK has been simplified for building, training, and deploying foundation models. The code for prediction is now easier to use. This post demonstrates how to get started with using foundation models using the simplified SageMaker Jumpstart SDK in just a few lines of code. You can find more information about the…
Amazon Kendra is an intelligent search service that uses machine learning to quickly search enterprise data. The Amazon Kendra Drupal connector allows users to index and search Drupal content using intelligent search. This post provides a step-by-step guide on how to configure the connector and use it to search Drupal documents securely. It also mentions…
Intuitivo, a pioneer in retail innovation, is using cloud-based AI and machine learning to revolutionize shopping. Their autonomous points of purchase (A-POPs), or vending machines, offer enhanced customer experiences at a lower cost compared to traditional vending machines. They use AWS Inferentia to run computer vision models faster and reduce costs by 95%. They also…
Amazon SageMaker Canvas, introduced in 2021, allows business analysts to build and deploy machine learning (ML) models without coding. With recent updates, SageMaker Canvas now supports foundation models (FMs), enabling users to query documents from their knowledge base. Integration with Amazon Kendra allows for context-specific and secure retrieval of information. The feature can be easily…
T-Mobile US, Inc. offers a Voicemail to Text service that converts voicemails to text using Amazon Transcribe. They have now launched the Voicemail to Text Translate feature, powered by Amazon Translate, which allows customers to request voicemail transcriptions in their preferred language. This feature is available on major Android devices. The use of the Voicemail…
Meesho, an ecommerce company in India, has developed a generalized feed ranker (GFR) using AWS machine learning services to personalize product recommendations for users. The GFR considers browsing patterns, interests, and other factors to optimize the user experience. Meesho used Amazon EMR with Apache Spark for model training and SageMaker for model deployment. The implementation…
Companies are increasingly using user-generated images and videos for engagement, but managing inappropriate content can be a challenge. Amazon Rekognition offers pre-trained and customizable AI capabilities for content moderation. With the new Custom Moderation feature, companies can enhance the accuracy of the moderation model and tailor it to their specific needs. The feature allows for…
The text discusses the challenges of building anomaly detection models using high-resolution imagery and proposes a two-stage approach to overcome these challenges. It describes the training process for a Rekognition Custom Labels model and presents the results of experiments conducted using one-stage and two-stage models to detect missing holes in PCBs. The two-stage model outperformed…
Purina US, a subsidiary of Nestle, used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection on the Petfinder platform. By leveraging Amazon Rekognition Custom Labels, AWS Step Functions, and other AWS services, Purina created an ML model that detects the pet breed from uploaded images and auto-populates pet attributes. This solution…
Summary: Amazon Pharmacy has developed a generative AI question and answering (Q&A) chatbot assistant to help customer care agents retrieve information in real time. The solution uses the Retrieval Augmented Generation (RAG) pattern and is HIPAA compliant. Agents provide feedback on the machine-generated answers, which is used for future model improvements. The chatbot is integrated…
Amazon Personalize has introduced a new integration with Amazon OpenSearch Service to personalize search results for each user. The Amazon Personalize Search Ranking plugin allows customers to improve engagement and conversion by utilizing deep learning capabilities. The feature is available with self-managed OpenSearch and offers flexibility and control over the search experience. AWS Partners, like…
Veriff is an identity verification platform partner for organizations in various industries. They use advanced technology, including AI-powered automation and human feedback, to verify user identities. Veriff standardized their model deployment workflow using Amazon SageMaker, reducing costs and development time. They use SageMaker multi-model endpoints and Triton Inference Server to manage and deploy ML models…
Amazon Kendra is an intelligent search service powered by machine learning that simplifies the process of ingesting and indexing content from various data sources. The new Amazon Kendra Web Crawler allows users to search for answers from internal and external websites, as well as create chatbots. It supports various authentication methods, web proxies, and dynamic…
Amazon SageMaker Canvas is a service that allows business analysts and citizen data scientists to use pre-built machine learning models or build their own without writing code. It supports various use cases such as sentiment analysis, document processing, and demand forecasting. The service now includes foundation models, which can generate and summarize content using generative…
According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. Machine learning (ML) can help analyze large volumes of customer reviews across multiple channels to gain insights into customer preferences and improve products and services. Amazon SageMaker Canvas offers ready-to-use AI and custom models for sentiment analysis and text analysis…
This article discusses how organizations can use Amazon Comprehend, an AI/ML service, to build and optimize custom classification models. It provides guidelines on data preparation, model creation, and model tuning. The article also explores techniques for handling underrepresented data classes and mentions the cost of using Amazon Comprehend.
Large language models (LLMs) like Llama 2 have gained popularity among developers, scientists, and executives. Llama 2, recently released by Meta, can be fine-tuned on AWS Trainium to reduce training time and cost. The model uses the Transformer’s decoder-only architecture, has three sizes, and pre-trained models are trained on 2 trillion tokens. Distributed training is…