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Updated by ankur mishra on Oct 27, 2024
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Bag of Word vs TF-IDF

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Natural Language Processing (NLP) encompasses a variety of methods and techniques to enable computers to understand, interpret, and produce human language. Both Bag of Words (BoW) and TF-IDF (Term Frequency-Inverse Document Frequency) are foundational techniques in NLP that are text representation techniques for various projects

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Good way to Do Bag of Word (BOW) or TF-IDF ? – DataFlairs

Good way to Do Bag of Word (BOW) or TF-IDF ? – DataFlairs

Both the Bag of Words (BoW) model or TF-IDF (Term Frequency-Inverse Document Frequency) function are used. Text-specific extractions but different purposes and characteristics.

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What is RAG(Retrieval-Augmented Generation) LLM model ? – DataFlairs

What is RAG(Retrieval-Augmented Generation) LLM model ? – DataFlairs

The RAG LLM model is open source and also generative AI to introduced by Facebook AI research and is designed to improve the performance of language models.

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github for DevOps as well as individual Engineers! – DataFlairs

github for DevOps as well as individual Engineers! – DataFlairs

At this point, Github deliver to us hosting services for git repositories and those have collections of files and their revision histories. Git is a distributed version control system, which means each contributor has a local copy of the entire repository, including its history.

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best tools for devOps Engineers Docker-Compose! – DataFlairs

best tools for devOps Engineers Docker-Compose! – DataFlairs

Docker Compose is a tool used to define and run multi-container Docker applications. It simplifies the process of managing the lifecycle of applications that consist of multiple interconnected containers.