Evaluating GPT-4’s Proficiency in Addressing Cryptography Examinations

ePrint Report: Evaluating GPT-4’s Proficiency in Addressing Cryptography Examinations

Vasily Mikhalev, Nils Kopal, Bernhard Esslinger

In the rapidly advancing domain of artificial intelligence, ChatGPT, powered by the GPT-4 model, has emerged as a state-of-the-art interactive agent, exhibiting substantial capabilities across various domains. This paper aims to assess the efficacy of GPT-4 in addressing and solving problems found within cryptographic examinations. We devised a multi-faceted methodology, presenting the model with a series of cryptographic questions of varying complexities derived from real …

agent art artificial artificial intelligence capabilities chatgpt cryptography domain domains eprint report gpt gpt-4 intelligence report state