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 […]
Whether you’re preparing for a developer role, data scientist position, or AI researcher job, understanding RAG is becoming increasingly vital. Artificial intelligence (AI) is evolving rapidly, and so are the expectations in interviews for roles in this field. One popular concept in AI likely to encounter is RAG—short for Retrieval-Augmented Generation. If you’re preparing for
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Discover potential of SmolAgents a lightweight AI agent for efficient task handling. List of Contents: What are SmolAgents? Key Features of SmolAgents Technical Aspects of SmolAgents Use Cases of SmolAgents Getting Started with SmolAgents – Python Code Example Why SmolAgents Matter? Conclusion In the evolving world of artificial intelligence, Hugging Face has once again
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Retrieval-augmented generation (RAG) is more than just a technology – it’s a strategic advantage for businesses in today’s data-driven world. By bridging the gap between static AI models and real-time information retrieval, RAG enables companies to address challenges like outdated responses, information overload, and lack of personalization. Let’s explore how RAG can specifically benefit businesses
Topics Covered: – INTRODUCTION What is RAG? Architecture Of RAG RAG vs. Agentic RAG Applications of RAG Why is RAG Important? Future of RAG Conclusion INTRODUCTION Artificial Intelligence (AI) has transformed how businesses operate and solve problems. One of the magnificent innovations in this field is the Retrieval-Augmented Generation (RAG). Even if one is not
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Think about a world where creating a professional, engaging video takes as much effort as typing out an email. Thanks to the rapid advancements in AI and video generation technology like SORA. Whether you are a content creator, a marketer, or someone who just loves exploring in creative storytelling, Sora’s AI-powered video tools are set
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Artificial Intelligence (AI) has evolved remarkably, branching into various specialized domains that redefine how humans interact with technology. One such emerging concept is Agentic AI, a transformative approach to building intelligent systems. But what is Agentic AI, and why does it matter? How can it shape our lives, and what technologies power its development? Let’s
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Revise statistics concepts with this ultimate collection of 15 most asked interview questions and answers. Statistics for Data Science What is the significance of Central Limit Theorem (CLT) in data science? In practice, Central Limit Theorem (CLT) is often used for hypothesis testing, Confidence Interval, and understanding the behaviour of statistical estimators. CLT is crucial
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Introduction Generative AI is a type of artificial intelligence that is used to create new texts, audio, images, videos and other types of multimedia content. Unlike traditional AI, which is used for data analysis and predictions, generative AI learns patterns from the training data and generates new data. Advanced models like GANs and Transformer-based architecture
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Data analytics is a rapidly growing field, with applications in every industry. For beginners, the path can seem daunting, with buzzwords and endless technologies. This conversational Q&A guide addresses common questions to help you kickstart your journey in data analytics. Q1: What exactly is data analytics, and why is it important? Data analytics involves examining
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