Imagine you’re writing an essay. You know some things, but you also look up facts from books or Google to make your essay accurate. That’s exactly what RAG does for AI. Instead of relying only on what it was trained on, RAG combines stored knowledge with real-time data. This makes responses more accurate, relevant, and […]
What is Retrieval-Augmented Generation? Read More »
Nowadays AI has become our go to tool for everything from coding to creative writing. However, the quality of the “output” that you get from your Gen AI model depends heavily upon the quality of the “input”(Prompt) that is provided to the AI Model. Think of an LLM (Large Language Model) as a brilliant but
Tips for better AI Prompting Read More »
In modern software engineering, the microservices architecture is often treated as the gold standard for scalability. Inspired by the success of tech giants like Netflix and Amazon, many organizations rush to decompose their applications into smaller, independent services. However, choosing an architecture based on what “Big Tech” does can lead to a phenomenon known as
Microservices: Probably a Overkill for Your Project Read More »
Artificial Intelligence isn’t new—but the rise of Generative AI has changed the game. While traditional AI focused on analyzing data and making predictions, Generative AI is rewriting the rules by creating content that feels human. From chatbots that write poetry to tools that design stunning visuals, the shift is massive. But what exactly sets Generative
Traditional AI vs. Generative AI: The Evolution of Intelligence Read More »