See how to apply cost-aware chaos engineering techniques using open-source tools, automation, and prioritization to improve system resilience without breaking the bank.
Realizing that not all use Gradle, I thought I would demonstrate how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Maven, and Heroku.
Data breaches cost $4.88M on average — learn in this article how DLP content detection protects sensitive data with the help of AI, RegEx, OCR, and more.
This article explores how data-driven decision-making enhances digital advertising, focusing on predicting ad viewability rates using machine learning.
Testing DeepSeek-R1 with Ollama for code generation, math solving, creative writing, and Q&A. See how it performs across tasks and where it falls short.
When I migrated from Rails to Spring Boot, I lacked content to guide me without having to go through all of the basics of a web framework. So, I wrote this tutorial.
Discover the pros and cons, types, applications, and lots more about two common machine learning algorithms: supervised learning and unsupervised learning.
Video annotation is the way in which machines are actually getting the ability to process visual data; this is what closes the gap between AI and real-world applications.
This tutorial demonstrates how to use the LangChain framework to connect with OpenAI and other LLMs, work with various chains, and build a basic chatbot with history.
By integrating post-processing validation, RAG, and customizable guardrails, developers can bridge the gap between prototyping and production in LLM applications.
I asked ChatGPT the question, ‘9.9 or 9.11, which is bigger?’ ChatGPT alone answered incorrectly, but with the help of Python, it provided the correct answer: 9.9.
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.