A technology company has developed a powerful language model by training it on a massive, diverse dataset from the public internet. During internal testing, the model demonstrates strong general knowledge but also occasionally generates biased, unhelpful, or factually incorrect content. The company's primary goal is to ensure the model's public-facing behavior consistently reflects its core values of safety, accuracy, and helpfulness. Which of the following strategies represents the most direct and effective approach for the company to achieve this specific goal?

Comparing Training Phases for Behavioral Alignment

Correcting a Chatbot's Risky Advice