Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing
This is an incremental review paper summarizing features and issues for NLP researchers and practitioners.
The paper reviews GPT-4, highlighting its advancements over GPT-3, such as a larger model size (over one trillion parameters) and improved multilingual and reasoning capabilities, while discussing its applications and challenges.
Generative Pre-trained Transformer 4 (GPT-4) is the fourth-generation language model in the GPT series, developed by OpenAI, which promises significant advancements in the field of natural language processing (NLP). In this research article, we have discussed the features of GPT-4, its potential applications, and the challenges that it might face. We have also compared GPT-4 with its predecessor, GPT-3. GPT-4 has a larger model size (more than one trillion), better multilingual capabilities, improved contextual understanding, and reasoning capabilities than GPT-3. Some of the potential applications of GPT-4 include chatbots, personal assistants, language translation, text summarization, and question-answering. However, GPT-4 poses several challenges and limitations such as computational requirements, data requirements, and ethical concerns.