LLM Trainer - Agent Function call

Design multi-turn conversations that simulate real interactions between users and AI assistants using apps like calendar, email, maps, and drive. Emulate both the user and the assistant, including the assistant's tool calls (only when corrections are needed). Carefully select when and how the assistant uses available tools, ensuring logical flow and proper usage of function calls. Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns. Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognize infeasible ones, and maintain engaging general chat when tools aren’t required. Ensure all conversations adhere to defined formatting and quality guidelines, using an internal playbook. Iterate on conversation examples based on feedback to continuously improve realism, clarity, and value for training purposes. Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.