Natural Language Processing (NLP) is revolutionizing the way machines understand, generate, and interact with human language. With applications ranging from chatbots and voice assistants to language translation and text summarization, language models have become essential in modern AI. This guide will walk you through designing and training a language model, focusing on the fundamental concepts […]
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How to Design and Train a Language Model: A Beginner’s Guide to Natural Language Processing
Filed Under: Data Science Tagged With: AI, chatbots, deep learning, language model evaluation., language model training, language modeling, language models, language translation, lemmatization, long short-term memory networks, machine learning, named entity recognition, natural language processing, NLP, NLTK, part-of-speech tagging, PyTorch, recurrent neural networks, sentiment analysis, spaCy, Stanford CoreNLP, stemming, TensorFlow, text analysis, text summarization, tokenization, Transformers
What is Generative AI? Generative AI explained with models & Chatbots
You have already heard about chatGPT and similar tools; if not, please check them out. You can google it or leave your comments, and I will guide you. In this video, we will move above chatGPT and understand the fundamentals of this space or technology called Generative AI.In the next few years, let me repeat, in the […]
Filed Under: machine learning Tagged With: advertising, chatGPT, content creation, creative writing, generative AI, Google Bard, LSTM network, marketing, natural language processing, neural network, Transformers