named entity recognition

How to Design and Train a Language Model: A Beginner’s Guide to Natural Language Processing

November 6, 2024 By akhilendra Leave a Comment

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 […]

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

Understanding BERT: The Game-Changer in Natural Language Processing

September 3, 2024 By akhilendra Leave a Comment

Introduction to BERTBERT, which stands for Bidirectional Encoder Representations from Transformers, is a revolutionary model in the field of natural language processing (NLP). Developed by Google and introduced in 2018, BERT has significantly improved the way machines understand and process human language. Its primary innovation lies in its bidirectional training approach, which allows the model […]

Filed Under: Data Science Tagged With: ALBERT, artificial intelligence, attention mechanisms, BERT model, Bidirectional Encoder Representations from Transformers, deep learning, fine-tuning, Google BERT, GPT, language models, machine learning, named entity recognition, natural language processing, NLP, pre-training, question answering, RoBERTa, sentiment analysis, text classification, transformer architecture, transformer models.