A company has a powerful, general-purpose language model that was initially trained on a vast dataset of internet text, giving it a broad understanding of language and world knowledge. The company now wants to create a specialized chatbot for its e-commerce website to handle customer queries about product details, shipping, and returns. Two strategies are proposed:

Strategy 1: Train a new model from scratch using only the company's internal data (product descriptions, shipping policies, return guidelines).

Strategy 2: Take the existing general-purpose model and conduct a second phase of training using only the company's internal data.

Evaluate the two proposed strategies. Which strategy is more likely to result in a more capable and helpful customer service chatbot, and why? Justify your reasoning by considering the knowledge base and conversational abilities of the final model in each scenario.