This comprehensive guide walks you through building and deploying a Retrieval-Augmented Generation (RAG) pipeline. Understand its architecture, key components, and practical applications in real-world AI systems. From data preparation to deployment, learn step-by-step how to enhance large language models with real-time data retrieval.
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RAG, or Retrieval-Augmented Generation, is an AI framework that combines retrieval-based methods with generative models. It enables language models to fetch relevant external information and generate responses grounded in real-world data, improving accuracy and contextual relevance.
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Lemmatization in NLP refines text processing by reducing words to their dictionary form, considering context for accurate interpretation. Unlike stemming, it produces valid dictionary words and enhances applications like search engines, chatbots, and sentiment analysis. This article covers its importance, examples, and implementation.
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Stemming in NLP simplifies words to their root forms, boosting the efficiency of tasks like search engines, sentiment analysis, and spam detection. Learn the step-by-step process, common algorithms, and real-life applications of stemming, along with its drawbacks and limitations in complex NLP tasks.
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BERT is a game-changing language model developed by Google. Instead of reading sentences in just one direction, it reads them both ways, making sense of context more accurately. This article explores how BERT’s architecture and training method revolutionize natural language processing.
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Before we move on to the complicated concepts, let us quickly understand Text Summarization in Python. Here is the definition for the same. “Automatic text summarization is the task of producing a concise and fluent summary while preserving key information content and overall meaning”-Text Summarization Techniques: A Brief Survey Need for Text Summarization Python Various
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What is POS tagging? Techniques for POS tagging POS tagging with Hidden Markov Model Optimizing HMM with Viterbi Algorithm Implementation using Python What is Part of Speech (POS) tagging? Back in elementary school, we have learned the differences between the various parts of speech tags such as nouns, verbs, adjectives, and adverbs. Associating each word
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