Categories
Sentiment Analysis

Decoding BERT A Key Model in LLM [Video]

Decoding BERT A Key Model in LLM

Welcome to Next Gen AI and Tech Explorer channel! Today, we’re decoding BERT, a pivotal model in Language Model Learning (LLM). BERT (Bidirectional Encoder Representations from Transformers) is an open-source model developed by Google, widely used in Natural Language Processing (NLP). Our video covers the basics of BERT, its inner workings, and practical applications. We’ll delve into why BERT is key in making machines understand languages like humans, how it revolutionizes NLP and its role in AI and ML. We’ll also explore how BERT is pre-trained, its bidirectional nature, and its use of a masked language model. Furthermore, we’ll look at how BERT is utilized in Google Search, sentiment analysis, named entity recognition, machine translation, chatbot responses, recommendation systems, document classification, and question answering systems. Finally, we’ll discuss BERT’s impact on NLP, LLM, and its crucial role in modern AI. Stay tuned to decode the intriguing world of BERT!

#BERT #LanguageModelLearning #NaturalLanguageProcessing #AI #MachineLearning #GoogleSearch #SentimentAnalysis

Watch/Read More