Generative AI, RAG, LangChain, LangGraph and Multi Agent AI Systems explained Experienced software professionals transitioning into AI Engineer or AI Architect roles often learn how to use Generative AI tools but struggle to explain how enterprise AI systems are actually designed. Modern enterprise AI systems are not built using standalone LLM prompts. They are built…
Large Language Models (LLMs) have changed how we interact with software. They can write code, summarize documents, and answer questions in natural language. However, despite all their capabilities, LLMs have a fundamental weakness: they do not truly “know” your data. This limitation becomes very clear when we try to use LLMs in real-world, enterprise scenarios….
Introduction: Artificial Intelligence is transforming our world, and at the heart of this revolution lies a dynamic duo: Deep Learning and Machine Learning. In this article, we’ll embark on a thrilling journey to understand how Deep Learning takes AI to new heights and what the difference is between deep learning and machine learning, in a…
With the rapid evolution of Generative AI, building intelligent AI agents has become more accessible than ever. Recently, I developed a simple LLM powered AI assistant using OpenAI’s GPT-4o-mini and LangChain, powered by a minimal Streamlit interface. While the idea is simple, the approach demonstrates how we as developers—especially those coming from traditional enterprise backgrounds—can…
Introduction Imagine a world where computers can not only follow the rules but also learn from experience, just like humans. This is the magical realm of Artificial Intelligence (AI). In traditional computer programming, the programmer defines the logic to be followed by the program based on the requirement. The decision tree is defined explicitly by…
The evolution of Large Language Models (LLMs) has brought us to an exciting new frontier—agentic AI systems. These aren’t just chatbots or assistants anymore. They are autonomous collaborators, planners, tool users, and knowledge workers. As LLM-powered applications become more complex, two frameworks have emerged as the go-to tools for developers: This article explores the design…
Introduction Welcome, learning enthusiasts! Today, we embark on a journey to unravel the captivating world of Artificial Intelligence (AI) and its trusty sidekick, Machine Learning (ML). If you’re a college student or a budding IT enthusiast, you’ve likely heard these buzzwords thrown around, but what exactly do they mean? How do they work together? Fear…
Generative AI is a subset of Artificial Intelligence (AI) which is capable of creating new content, such as text, images, music, and video. Unlike traditional AI models that are programmed for specific tasks, Generative AI employs machine learning techniques to learn patterns from existing data and then produce new data that follow similar patterns. Generative…
Do you know how much productivity you can gain using Generative AI as your assistant coder while coding? The AI Moment in My Developer Journey As a senior Java developer with over two decades in enterprise software development, I’ve seen technology trends come and go. But when I first used Generative AI—particularly tools like GitHub…
Wondering, when and how Generative AI came into existence? Artificial Intelligence (AI) has come a long way, evolving into a technology that never ceases to amaze us. One captivating facet of AI, Generative AI, has been making waves recently. Let’s embark on a journey through time to unravel the intriguing history of Generative AI, tracing…
