A survey of fairness interventions in software engineering that organizes prior work into a taxonomy and adds a small empirical analysis of open-source fairness repository maintenance.
Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
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.
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Exploring the Landscape of Fairness Interventions in Software Engineering
A survey of fairness interventions in software engineering that organizes prior work into a taxonomy and adds a small empirical analysis of open-source fairness repository maintenance.