  This study analyzes the application of code-generating Large Language Models
in the creation of immutable Solidity smart contracts on the Ethereum
Blockchain. Other works such as Evaluating Large Language Models Trained on
Code, Mark Chen et. al (2012) have previously analyzed Artificial Intelligence
code generation abilities. This paper aims to expand this to a larger scope to
include programs where security and efficiency are of utmost priority such as
smart contracts. The hypothesis leading into the study was that LLMs in general
would have difficulty in rigorously implementing security details in the code,
which was shown through our results, but surprisingly generally succeeded in
many common types of contracts. We also discovered a novel way of generating
smart contracts through new prompting strategies.
