OpenAI Chat API: Few-Shot Prompting with the System Role

Описание: This lesson explores few-shot prompting and its combination with the 'system' role in the OpenAI Chat API. This powerful approach is essential for generating highly directed and accurate AI responses.

Few-shot prompting builds on zero-shot and one-shot methods by providing the AI with multiple examples of how to respond to similar queries. This technique significantly enhances the model's ability to understand conversational context and produce outputs aligned with specific expectations.

You will learn how to provide the model with several examples, enabling it to recognize patterns and generate desired responses. The video demonstrates a detailed few-shot prompt example that integrates both 'system' and 'user'/'assistant' roles.

We clarify how the 'system' role sets overarching instructions for the AI, such as output format, while the included 'assistant' examples guide the model on specific details like key names and response length within that format. This combination improves both the accuracy and consistency of AI responses.

By the end of this video, you will understand how effectively combining the 'system' and few-shot prompting techniques provides a robust framework for shaping AI behavior and achieving predictable, high-quality interactions with the OpenAI API.