Freaks City

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is a technique that combines information retrieval with generative models. It addresses the limitation of storing all knowledge within a single model's parameters by first retrieving relevant information from an external knowledge source and then using this conte ...

Task Overview Sentiment classification is a fundamantal task in Natural Language Processing (NLP) that involves categorizing text (such as reviews or tweets) based on emotional sentiment (e.g., binary classification: positive/negative). In this tutorial, we'll use the IMDB movie review dataset to implement three different models using PyTorch. ...

Modern natural language processing (NLP) increasingly treats diverse tasks as sequence-to-sequence generation problems. Rather than restricting models to classification or extraction, we can frame nearly any NLP task—summarization, correction, translation—as generating a target text from an input text. This paradigm shift enables more flexible ...

Reading Email Dataset The first step in our spam classification task is to load the email dataset. We'll use Python's csv module to read the SMSSpamCollection file which contains labeled SMS messages. import csv def load_sms_dataset(file_path): """ Load SMS dataset from a tab-separated file Returns: tuple of (labels, messages) ...