GenAI-Logic is a prompt-driven approach to describing a model and logic using natural language. Create a time tracking system and post to production in less than 2 hours.
Brace yourself — Java conquers cloud-native microservices, unleashes Loom’s fast concurrency, and soars with Valhalla and Panama — future-ready and fierce!
This is the first article in the “Lakehouse: What’s the Big Deal?” series, where I will periodically discuss Lakehouse. Your comments and discussions are welcome.
This article examines both agentic and generative AI systems, their relative benefits and drawbacks, their implementation challenges with ethical risks, and more.
Overcoming NLP hurdles like large models and imbalanced data, the project used TF-IDF, class weighting, and simpler models for accuracy and efficiency.
Simplify testing complex asynchronous Python code by mastering async context manager mocking with Pytest, ensuring reliable and maintainable test coverage.
Simplify Kafka with KRaft—ditch ZooKeeper, streamline configs for Docker and Kubernetes, and integrate easily with Spring Boot for development and deployment.
This article discusses how the DOCX file structure stores form fields and values and suggests a few Java APIs that simplify retrieving DOCX form content.
Our serverless system crashed from traffic surges. With chaos engineering, we purposely broke Lambda, tested failures with AWS FIS, and achieved 99% uptime, 30s MTTR!
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.
Time to market can make or break any idea or solution. Check out how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Gradle, and Heroku.