Using Amazon Rekognition to improve bicycle safety
To better protect themselves, many cyclists are starting to ride with cameras mounted to the front or back of their bicycle. In this blog post, I will demonstrate a machine…
Technical How-to
Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock
In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can…
Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls
This post provides detailed steps for setting up the key components of a multi-account ML platform. This includes configuring the ML Shared Services Account, which manages the central templates, model…
Harnessing Amazon Bedrock generative AI for resilient supply chain
By leveraging the generative AI capabilities and tooling of Amazon Bedrock, you can create an intelligent nerve center that connects diverse data sources, converts data into actionable insights, and creates…
Develop a RAG-based application using Amazon Aurora with Amazon Kendra
RAG retrieves data from a preexisting knowledge base (your data), combines it with the LLM’s knowledge, and generates responses with more human-like language. However, in order for generative AI to…
Security best practices to consider while fine-tuning models in Amazon Bedrock
In this post, we implemented secure fine-tuning jobs in Amazon Bedrock, which is crucial for protecting sensitive data and maintaining the integrity of your AI models. By following the best…
Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach
In this post, we show how to create an automated continuous integration and delivery (CI/CD) pipeline solution to build, scan, and deploy custom Docker images to SageMaker Studio domains. You…
Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas
In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. We dive into Amazon SageMaker Canvas…
How Kyndryl integrated ServiceNow and Amazon Q Business
In this post, we show you how Kyndryl integrated Amazon Q Business with ServiceNow in a few simple steps. You will learn how to configure Amazon Q Business and ServiceNow,…
Mitigating risk: AWS backbone network traffic prediction using GraphStorm
In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of…