Code Katha

Bootcamp Overview Step-by-Step Learning: Comprehensive training in Java and Spring Boot to prepare for job interviews with confidence. Proven Success Tips: Learn from my experience of clearing interviews at top companies like Publicis Sapient, MakeMyTrip, EPAM Systems, Samsung, UST Global, Cognizant, Deloitte, and Expedia, where i got almost 200% hike with fixed component. Master Core Topics: Gain expertise in Core Java, Multithreading, Collections, Kafka, Databases (MongoDB, MySQL), Caching, Cloud, AI, and Spring Boot through simple explanations and practical examples. Problem-Solving Skills: Enhance your coding skills with Java 8+ features like streams and operators that are highly valued in interviews today. Hands-On Coding Sessions: Build confidence and clarity with live coding examples and step-by-step practice. Hindi Video Lectures: Understand complex topics easily with video lectures and notes. Contents [ hide ] ...

Integrating OpenAI ChatGPT with Spring AI With the advent of AI-driven technologies, Spring AI now supports OpenAI's ChatGPT, a powerful language model that has significantly advanced the capabilities of text generation in software applications. In this blog, we will delve into the process of integrating ChatGPT with Spring AI, explaining key concepts and providing practical examples to help you get started. Contents [ hide ] Getting Started: Obtaining an OpenAI API Key The first step towards integrating ChatGPT into your Spring application is obtaining an API key from OpenAI, which serves as your secret key for accessing the API. Here’s how to do it: Visit the OpenAI website and sign up for an account. Once your account is set up, navigate to the API section and select the 'API Keys' page. Click on 'Create new key'. This will generate a new API key that you can use in your application. Copy this key and secure it. You will need to...

Introduction to Spring AI with Ollama Welcome to a comprehensive guide on leveraging Spring AI with Ollama to develop AI-driven applications using Java. This tutorial will cover everything from setting up Ollama locally, configuring your development environment, to creating an application that utilizes large language models for text generation. Contents [ hide ] Setting Up Ollama Installing Ollama To use Ollama locally, you must first install it on your machine. This involves downloading the Ollama software from the official repository and configuring it to run without Docker. Follow the installation instructions provided in the Ollama README file available on their official GitHub page . Ollama Download link Downloading the Mistral Model After setting up Ollama, you can download the Mistral model directly from the Ollama management interface. Mistral is designed for a broad range of applications, offering robust text generation capabilities. // Run this command in cl...

Welcome to this in-depth guide on the concept of graphs in computer science. Whether you're a complete novice or an advanced learner looking to refine your understanding, this tutorial will guide you through the core concepts, representations, and practical applications of graphs, ensuring a robust understanding of this fundamental concept. Contents [ hide ] Introduction to Graphs A graph is a data structure that consists of a set of nodes (also called vertices) and a set of edges that connect these nodes. Graphs are used to represent pairwise relationships between objects. In a graph, nodes can represent any type of entities such as people, cities, web pages, or even abstract concepts, while edges represent the relationships or connections between these entities. Graphs are used to model a wide variety of real-world situations, from social networks (like Facebook, LinkedIn) to computer networks (like the internet), from biological systems (like protein-protein i...