Spring AI Multimodality: As AI technologies advance, the ability to process and generate different types of data—such as text, images, and audio—has become increasingly crucial. This capability, known as multimodality, allows AI models to understand and produce content across multiple formats, enhancing their versatility and application. In this article, we’ll explore what multimodality is in … Read more
As AI-driven applications evolve, the need to generate and manage structured data becomes increasingly important. Structured outputs in spring ai allow AI models to deliver results in an organized, predictable format, making it easier to process and integrate the output into other systems. In Spring AI, this is achieved through the use of a Structured … Read more
In the world of AI-driven applications, spring ai function calling is a game-changer that allows you to extend the capabilities of your models beyond simple input and output. With Spring AI, you can integrate function calling to make your AI interactions more dynamic and versatile. This guide will walk you through what function calling is … Read more
In the realm of AI applications, prompts play a crucial role in guiding AI models to generate specific responses based on user inputs. This article will explain what a Spring AI Prompt is, how to create and use prompts within the Spring AI framework, and provide you with code examples to get started. What is … Read more
Spring AI Project: In the rapidly evolving world of technology, integrating AI capabilities into your projects is becoming increasingly essential. One of the powerful tools available for developers is Spring AI, a framework that simplifies the integration of AI services into Spring-based applications. In this guide, we’ll walk through what Spring AI is, how … Read more