Prompt engineering is defined as the process of creating technical specifications for neural networks. The core requirement for effective interaction with AI models is a deep understanding of the specific project architecture and professional domain knowledge.
The author describes neural networks as advanced parsers that analyze large datasets to identify and memorize sequences of symbols. By learning patterns from training data, these models predict and generate subsequent information based on the input provided by the user.
