In unit testing, sometimes we need more control over the behavior of mocked methods than simple return values. Imagine you have a method that takes a Consumer as an argument and performs a series of actions on it. How do you verify its behavior or simulate different responses for it in a controlled test environment?…
In the rapidly evolving world of AI development, mastering the art of prompt engineering is crucial for effective interaction with AI models. Spring AI, a framework that simplifies AI integration in Spring applications, offers robust tools for handling prompts. Let’s dive into the world of prompts in Spring AI and explore how you can leverage…
The world of artificial intelligence is rapidly evolving, and integrating AI capabilities into existing applications has become a crucial skill for modern developers. The Spring Boot AI framework, an extension of the popular Spring Boot ecosystem, aims to simplify this process for Java developers. In this post, we’ll explore what Spring Boot AI offers and…
The rise and development of Large Language Models (LLM) have revolutionized the way we interact with computers. These powerful models are capable of understanding, generating human-like text, and even learning from contextual cues. While cloud-based LLMs have their advantages, there are scenarios where running these models locally is beneficial. This is where Ollama steps in,…