Day 2 | Different types of Prompting | Prompt Engineering Zero to Hero (5 Days)

The speaker begins by apologizing for a technical glitch and ensures that their voice and screen are working properly. They then set the agenda for the day, mentioning a quiz session scheduled for 7:30 PM based on the topics covered the previous day. The top three winners of the quiz will be recognized on social media platforms. The speaker emphasizes the importance of participating in the quiz and encourages everyone to stay until the end.

The speaker delves into the concept of prompt engineering, explaining it as a process of designing and optimizing prompts used in natural language processing models. They clarify that prompt engineering can be applied to any model, such as Chat GPT or BERT. The speaker outlines the three major principles of prompt engineering: being specific with questions, breaking down large tasks into smaller parts, and reiterating problems for clarity. They also discuss the importance of clear and concise language, using personas, and providing examples when constructing prompts.

The speaker emphasizes the importance of clear and concise language in prompts and the use of personas to guide the AI model's output. They discuss the need to provide detailed examples and information to help the model understand the task at hand. The speaker also highlights the necessity of specifying the task that the model is expected to perform and the value of refining prompts based on the output received.

The speaker outlines the main steps of prompting, which include defining the problem, using relevant keywords and phrases, writing a prompt, and testing and evaluating the output. They introduce the concept of 'prompt PR', which involves providing initial inputs to the model to define the desired output format. The speaker provides examples of how to use prompt PR to get specific types of responses from the model.

The speaker offers advice on how to start constructing a prompt, suggesting various starter phrases for different scenarios. They provide examples of prompts for brainstorming new ideas, creating a budget plan, and suggesting creative writing prompts. The speaker encourages the audience to explore these practical everyday prompts and to utilize the resources provided in previous sessions.

The speaker explains the concepts of zero shot, one shot, and few shot prompting. Zero shot prompting involves no prior information or guidelines, one shot prompting provides a single piece of data or guideline, and few shot prompting offers a set of guidelines. The speaker demonstrates these concepts through examples, showing how different types of prompting can yield different results.

The speaker introduces chain of thought prompting, a method that encourages the AI model to provide answers in a step-by-step format. This allows the user to understand the reasoning behind the AI's response. The speaker illustrates this by asking the model to calculate the diameter of the sun, first using zero shot prompting and then applying chain of thought prompting to reveal the calculation process.

The speaker discusses tabular format prompting, where the AI model's response is structured in a table format with categories separated into different columns. They also explain 'ask before answer' prompting, where the AI model asks clarifying questions before providing an answer. The speaker provides examples of how to use these prompting techniques and how they can lead to more detailed and customized responses.

The speaker describes fill in the blank prompting, a tool for focusing on specific aspects of a sentence or idea, and encourages deeper thinking. They guide the audience on how to use this technique effectively. The speaker then moves on to discuss how to apply chain of thought and ask before answer prompting in the context of a project on virtual health assistants, providing a step-by-step guide for the project development.

The speaker concludes the session with a quiz to engage the audience and test their understanding of the day's topics. They explain the rules of the quiz, which involves answering questions quickly for maximum points. The speaker also mentions that winners will be recognized on social platforms and encourages everyone to participate. They end the session by summarizing what has been learned and reminding the audience to practice the techniques discussed.