Machine Learning, Artificial Intelligence, Programming, Productivity, Technology.
flag specific types of errors, such as checking for negative values in age fields or ensuring categorical variables have valid categories. With LLMs, there is always a temptation to fine-tune your LLM with lots examples of acceptable and unacceptable inputs and let them act as data filtering. When