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Lombok is a library that automatically generates the boilerplate code during compilation. It offers a set of annotations that can eliminate the need for writing repetitive code, making your Java classes cleaner and more maintainable. In this blog, I’ll walk you through how I used Lombok in Java to reduce boilerplate code, with code examples that demonstrate its powerful features.
OpenAI on 12th September 24 launched a new AI model named “Open AI o1” which they claim to have more versatility and more human-like reasoning. Open AI o1 can be more efficient than its predecessor models like ChatGPT 4o,3.5 turbo, etc as it can reason through complex tasks and is capable of solving harder problems. OpenAI has released it as the first of its series in ChatGPT and OpenAI API. It is just a preview and you can expect more updates coming frequently.
In this guide, we’ll dive deep into the best practices for mastering REST API design, covering everything from the basics of REST principles to advanced topics like security, performance, and documentation.
In today’s AI-driven world, businesses are striving to extract meaningful insights from vast amounts of data. The concept of Retrieval-Augmented Generation (RAG) has gained popularity for blending the power of information retrieval and generative models. When combined with Spring AI, RAG becomes an invaluable tool for building intelligent, data-driven applications. In this blog tutorial, we’ll explore how to implement RAG with Spring AI, with practical examples and step-by-step instructions. We’ll also dive into integrating Ollama into your Spring AI RAG applications.
In this article, we’ll explore how JSON Server can revolutionize your frontend development workflow, provide a step-by-step guide on setting it up, and demonstrate some practical use cases in Node.js. By the end of this tutorial, you’ll be equipped with the knowledge to supercharge your frontend dev cycle and become more productive.
As we continue to push the boundaries of Artificial Intelligence (AI) and Machine Learning (ML), a new approach has emerged that’s poised to revolutionize the way we interact with machines. Meet Retrieval Augmented Generation (RAG), a cutting-edge technique that combines the strengths of retrieval-based and generative models. In this article, we’ll delve into the world of RAG in AI ML, exploring its history, development, and applications.
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