article thumbnail

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML).

article thumbnail

Natural Language Processing & Machine Learning in Higher Education

Mentormate

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

Insiders

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

Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

article thumbnail

Building accessible tools for large-scale computation and machine learning

O'Reilly Media - Data

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. Jonas and his collaborators are working on a related project, NumPyWren, a system for linear algebra built on a serverless architecture. Jonas is also affiliated with UC Berkeley’s RISE Lab.

article thumbnail

Fargate vs. Lambda: The Battle of the Future

Dzone - DevOps

Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

Lambda 94
article thumbnail

Challenges of Legacy System Integration: An In-Depth Analysis

Dzone - DevOps

Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. These systems continue to shoulder significant operational tasks, making their integration into modern architectures not just desirable but often essential.

System 59
article thumbnail

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. The OpenSearch Serverless collection. RAG is a popular technique that combines the use of private data with large language models (LLMs).