Prompt Engineering Challenges
The discussion delves into the complexities of prompting language models to provide specific outputs, such as edge lists instead of code. Insights reveal that some models even refuse to share certain data due to privacy concerns, highlighting the need for careful prompt engineering. The conversation also explores methods for evaluating the accuracy of generated graphs by comparing their topological features and degree sequences, revealing varying degrees of performance among different LLMs.In this clip
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Data Skeptic
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