Explainable AI (XAI) lifts the veil on machine learning in recruiting, showing why candidates get scored or rejected — like skills mismatches or low experience.
Learn how to create an AI assistant with LangChain4j in a Spring Boot application, which personalizes the application itself and has access to its actuators.
InfiniRetri retrieves information internally using LLM attention, while RAG retrieves it externally. The future may lie in hybrid approaches combining both strengths.
Learn about Infrastructure as Code (IaC) predictions for 2025, from AI-driven drift management to cost optimization, platform engineering, and multi-framework trends.
This is the second article in the “Lakehouse: What’s the Big Deal?” series, where I will periodically discuss Lakehouse. Your comments and discussions are welcome.
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.
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.
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.