6 posts found
Learn how to integrate multiple Large Language Models (OpenAI, Ollama, and Google Gemini) in a single Spring Boot application using Spring AI. Build a unified service layer to switch between different LLM providers seamlessly.
Learn how to build powerful AI agents using Google's Agent Development Kit (ADK) with Java. Explore ADK architecture, core concepts, and create a learning assistant agent with tools and MCP integration.
Learn about Model Context Protocol (MCP) and how to build an MCP server and client using Java and Spring. Explore the evolution of AI integration and the benefits of using MCP for LLM applications.
Learn how to build a powerful stock broker agent using Next.js and AI SDK. This guide covers setup, LLM interactions, tools, building autonomous agents, and implementing human-in-the-loop processes.
Learn how to build an AI-powered stock portfolio advisor using Java, Spring Boot, LangChain4j, and OpenAI/Ollama. This guide walks you through integrating AI into your application to provide real-time investment advice based on the latest stock data.
Learn how to set up a powerful, free AI code assistant in VS Code and IntelliJ IDEA using Ollama and Continue plugin. This guide will help you enhance your coding experience with local AI models, providing intelligent code suggestions without relying on cloud services.
Get instant AI-powered summaries of YouTube videos and websites. Save time while enhancing your learning experience.
