This is a dedicated watch page for a single video.
A Generative AI Engineer is building a GenAI application for a customer service use case. The model needs to return responses with clearly separated sections: a brief summary of the user’s issue, a recommended next action, and a confidence score. The LLM being used has a tendency to respond with natural language paragraphs that lack structure. The engineer wants to ensure that the model output strictly conforms to a structured, machine-readable format that downstream systems can parse without ambiguity. Which of the following approaches will MOST reliably help the engineer achieve this?