Principles and Limitations | Prompt Engineering 2023
About this lesson
Principles and Limitations 2023 | Prompt Engineering "Welcome to Prompt Engineering! In this video, we'll dive deep into the core principles of Prompt Engineering, unveiling the power of AI instructions. Stay with us as we explore the two fundamental principles that shape effective prompts and reveal a critical model limitation. 00:00 Introduction 00:35 Two Principles 00:51 Tactic 1 01:30 Tactic 2 02:03 Tactic 3 02:39 Tactic 4 03:16 Give model time to think 03:49 Complete Prompt 03:54 Model Limitation 04:43 How to avoid Hallucination ? Principle 1: Write Clear and Specific Instructions Learn the art of crafting crystal-clear instructions. Explore the use of delimiters, ensuring seamless separation of sections. Request structured output in formats like HTML and JSON. Implement conditions to ensure task-specific output. Discover the world of few-shot prompting for dynamic responses. Principle 2: Give Model Time to Think Encourage creativity and personal touches in the recipe. Emphasize originality and uniqueness. Allow the model the space to think creatively. Tactic 1: Use Delimiters Delimiters demarcate sections and steps within your prompt. Triple asterisks (***) and numbers (1) serve as effective delimiters in our example. Tactic 2: Ask for Structured Output Ensure your information is coherent and structured. Sample structures are provided on the screen. Explore examples of generating a Delicious Fruit Smoothie and book details in JSON format. Tactic 3: Check Whether Conditions Are Satisfied Conditions ensure specific requirements are met. The prompt example on the screen demonstrates how conditions guide the model. Tactic 4: Few-Shot Prompting Few-shot prompts direct the model. See how the model responds to inquiries about "resilience" and "patience." [Principle 2: Give Model Time to Think] Now, let's explore the second principle: "Give Model Time to Think." By allowing the model to think creatively and add personal touches, you unlock originality i
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