Learn to use Amazon Bedrock to build an app that sends text prompts to a model with Spring AI. This guide covers AWS setup, Spring AI config, and Bedrock integration.
Recommender systems predict preferences using feedback, tackling sparsity and cold starts with collaborative filtering, matrix factorization, and hybrid models.
Turn your words into calendar events effortlessly! This AI-powered assistant understands your text, extracts key details, and schedules events for you.
Integrate Google Calendar into your app by setting up OAuth2 authentication and creating an Express endpoint to add events, all in under 50 lines of code.
Discover how integrating text, image, and audio data advances multimodal AI, improving accuracy, decision-making, and transforming industry applications.
Data mining and machine learning to uncover patterns in data with Support Vector Machine (SVM) and Random Forest in recommending personalized e-commerce products.
How to set up your sign-in solution on CloudFare pages by using Next.js, NextAuth D1, and Prisma. The source code and the link to the working demo are provided.
Learn how AI-driven observability transforms monitoring with proactive issue detection, smarter analysis, and seamless integration into modern IT systems.
Gatherers is a new and powerful API that enhances the Stream API by modeling intermediate operations and allowing the definition of custom intermediate operations.