Contents:

*In-Context Learning: Use specific examples to directly enhance your model's performance.
*Use of Placeholders: Implement placeholders in your prompts to directly influence the model's output, making it adaptable.
*Temperature Control: Adjust the 'temperature' setting to fine-tune the creativity or accuracy of responses based on the task's requirements.
*Applied Examples: Each section includes clear examples demonstrating these techniques in real-world applications, from software development to content creation.