Discover the latest advancements in artificial intelligence, applications and ethical challenges of AI, read an ultimate guide for both beginners’ and professional. Artificial Intelligence (AI) has become an integral part of modern life, influencing everything from healthcare to entertainment. But what exactly is AI, and how does it work? In this article, we will explore […]
DeepSeek: The Chinese Powerhouse Challenging AI Giants with its Open-Source Reasoning Model. The artificial intelligence landscape has been a battleground for innovation, where tech titans like OpenAI, Google DeepMind, and Anthropic dominate the scene. However, a new challenger from China, DeepSeek, is turning heads across the AI community. With the release of its revolutionary
Learn the ultimate data science roadmap to becoming a data scientist. Learn who a data scientist is, the essential tools and technologies you need, and how much experience is required. Are you intrigued by the idea of uncovering hidden insights from data? Does the term “data scientist” spark a sense of curiosity or excitement
Data Scientist Roadmap in 2025: A Complete Guide Read More »
Generative AI is taking the tech world by storm, with applications ranging from content creation to personalized marketing and beyond. As the demand for experts in this field grows, so does the need to prepare for interviews in this dynamic domain. If you’re gearing up for a job involving generative AI, you’re in the right
20+ Generative AI Interview Questions and Answers Read More »
Discover how AI agents transform customer experience with 24/7 support, personalized interactions, and real-world examples from brands like Netflix and Sephora. Learn how to balance automation with empathy for exceptional CX. Customer experience (CX) has always been the cornerstone of successful businesses. In today’s hyper-competitive, digitally driven world, expectations have skyrocketed. Enter AI
Revolutionizing Customer Experience with AI Agents: A New Era of Engagement Read More »
When implementing retrieval mechanisms in AI systems like Retrieval-Augmented Generation (RAG), choosing between sparse retrievers (e.g., BM25) and dense retrievers (e.g., Dense Passage Retrieval, DPR) is crucial. Both have their strengths and weaknesses, and the decision often depends on the specific use case, resources, and goals. Here’s a detailed comparison to help you understand
Integrating a Retrieval-Augmented Generation (RAG) system with a live database allows the model to generate contextually relevant responses using the most up-to-date and accurate information. This setup is especially valuable for dynamic applications like customer support, real-time analytics, or news summarization. Below is a step-by-step guide to achieving this integration. 1. Understand the Workflow
How to Integrate a RAG System with a Live Database Read More »
Retrieval-Augmented Generation (RAG) represents a significant evolution in how question-answering (QA) systems are designed, combining the strengths of retrieval-based systems and generative models. Here’s a breakdown of the key differences between RAG and traditional QA systems: 1. Static Knowledge vs. Dynamic Knowledge Traditional QA Systems: Often rely on pre-trained models that use static knowledge.
How Does RAG Differ from Traditional Question-Answering Systems? Read More »
DPR stands for Dense Passage Retrieval, a cutting-edge method for retrieving relevant documents based on their semantic content. It is a deep learning-based retrieval model introduced by Facebook AI and designed to improve the accuracy and efficiency of information retrieval tasks. How Does DPR Work? DPR employs a dual-encoder architecture with two main
Negative sampling is a crucial technique in retriever training, helping models learn to distinguish between relevant and irrelevant documents. There are two key components of RAG: Retriever: Fetches relevant documents or data. Generator: Generates the output using the retrieved information. Negative sampling is a critical technique in training retrievers, particularly dense retrievers like DPR (Dense
