How Can an LLM Be Effectively Trained to Adapt to Intelligent Customer Service Scenarios?

To effectively train an LLM to adapt to intelligent customer service scenarios, focus on the following aspects:

• Evaluate the feasibility of developing a model tailored to a specific industry, such as e-commerce or finance, based on actual business scenarios and the data volume of accumulated by enterprises.
• Optimize the dialogue model through supervised fine-tuning, using high-quality scripts from customer service as the basis for optimization.
• Implement a "search prior to inference" solution, predicated on the notion that the domain-specific knowledge embedded in each customer conversation can be sourced from help documents, case studies, and FAQs. As the customer's document library can be updated in real time, the LLM's responses can be updated smoothly. This solution can also be called the "Search + LLM" solution.