Hints Playbook AI This playbook provides guidance on how to effectively use hints to improve the performance of AI models. Understanding Hints Hints are additional pieces of information provided to an AI model to guide its output. They can take various forms, such as: * Textual prompts: Direct instructions or suggestions. * Examples: Demonstrating the desired output format or style. * Constraints: Specifying limitations or boundaries for the response. Types of Hints * Zero-shot: Hints are provided without any examples. * Few-shot: A small number of examples are given to illustrate the desired output. * Fine-tuning: Hints are incorporated into the training data to adjust the model's behavior. Best Practices for Using Hints * Be specific: Clearly articulate what you want the AI to do. * Provide context: Give the model enough background information to understand the task. * Use examples: Demonstrate the desired output format or style. * Iterate and refine: Experiment with different types and formats of hints to find what works best. * Evaluate results: Assess the quality of the AI's output and adjust hints accordingly.

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