4.1 | Evaluating Prompts: Feedback Loops & A/B Testing | Prompt Engineering Foundation скачать в хорошем качестве

4.1 | Evaluating Prompts: Feedback Loops & A/B Testing | Prompt Engineering Foundation

Learn to systematically evaluate your AI prompts in this lesson from our Prompt Engineering Foundations course! We'll cover feedback loops, A/B testing, and practical evaluation techniques for consistent, high-quality AI outputs. Discover why evaluation is key for reliable AI in any business. We'll explore qualitative and quantitative data, designing A/B tests with relevant metrics, and interpreting results. Get a hands-on demo using the OpenAI Playground: upload datasets, build and test prompts, and apply advanced grading, including Python graders. Essential for building robust AI applications! TIMESTAMPS: 00:00 Introduction to Prompt Evaluation 00:18 Importance of Systematic Evaluation 00:37 Understanding Feedback Loops 00:59 AB Testing Explained 01:36 Measuring and Comparing Results 02:15 Tools for Model Evaluation 02:37 Hands-On with OpenAI Playground 03:03 Creating and Uploading Datasets 05:12 Building and Testing Prompts 07:07 Advanced Grading Techniques 12:49 Conclusion and Final Thoughts