preprintarXiv (Cornell University)Mar 18, 2023GREEN OA

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

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Abstract

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on, have gained considerable attention due to their exceptional natural language processing capabilities. However, despite the abundance of research on the difference in capabilities between GPT series models and fine-tuned models, there has been limited attention given to the evolution of GPT series models' capabilities over time. To conduct a comprehensive analysis of the capabilities of GPT series models, we select six representative models, comprising two GPT-3 series models (i.e., davinci and text-davinci-001) and four GPT-3.5 series models (i.e., code-davinci-002, text-davinci-002, text-davinci-003, and gpt-3.5-turbo). We evaluate…

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Authors

15

Topics & keywords

Keywords
  • Robustness (evolution)
  • Computer science
  • Series (stratigraphy)
  • Artificial intelligence
  • Machine learning
  • Biology
UN Sustainable Development Goals
  • Quality Education
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