How to do Prompt Engineering and properly use ChatGPT / LLMs | Prompt Engineering Guide | Tamil

Hareesh Rajendran
26 Apr 202410:22

TLDRThis video delves into the art of Prompt Engineering, essential for effectively utilizing ChatGPT and other Large Language Models (LLMs). It introduces different types of prompts, such as one-shot and few-shot learning, and emphasizes the importance of task, context, exemplar, persona, format, and tone in crafting effective prompts. The video also touches on using data science for immersive learning and real-world project engagement, offering a comprehensive guide to mastering prompt engineering and enhancing interactions with AI.

Takeaways

  • 🔍 Prompt Engineering is a technique to get desired outcomes from AI systems like ChatGPT by structuring your prompts effectively.
  • 💡 Types of prompts include 'One Shot' where a single prompt is given to get a direct answer, and 'Few Shot Learning' where examples are provided first to guide the AI.
  • 📝 A good prompt structure includes Task, Context, Exemplar, Persona, Format, and Tone, which helps in generating accurate and relevant outputs.
  • 🎯 Task definition is crucial; it should clearly state what the AI is expected to do, like generating a code, writing an essay, or summarizing information.
  • 📚 Exemplar and Persona are key components that help the AI understand the context and the user's role, which in turn influences the response.
  • 📑 Format and Tone dictate how the output should be presented, whether it's a PDF, ASCII diagram, or bullet points, and the style of communication.
  • 💼 Real-world applications of prompt engineering can be seen in job interviews, where one might use the STAR method (Situation, Task, Action, Results) to structure responses.
  • 🏫 There are educational platforms, like the mentioned 'Oding School', that use immersive learning and real-world projects to teach prompt engineering and data science.
  • 💼 The script suggests that prompt engineering can be a valuable skill in the job market, with platforms offering job opportunities and salary negotiation support.
  • 🌟 Continuous learning and upgrading one's skills in prompt engineering can lead to better interaction with AI systems and improved results in various tasks.

Q & A

  • What is Prompt Engineering?

    -Prompt Engineering is the process of crafting input prompts in a way that elicits the desired output from AI models like ChatGPT. It involves structuring the query in a specific format to get accurate and relevant responses.

  • What are the different types of prompts mentioned in the video?

    -The video mentions several types of prompts: one-shot prompts where a single input is given to get an answer, exemplar prompts which use examples to guide the AI, and persona prompts that define the user's role or background for more personalized responses.

  • How can prompt engineering improve the output from AI models?

    -By following a structured format that includes task, context, exemplar, persona, format, and tone, prompt engineering can significantly enhance the quality and relevance of the AI's output, making it more useful and accurate.

  • What is the significance of exemplar and persona in prompt engineering?

    -Exemplar and persona are crucial in prompt engineering as they provide the AI with specific examples and user roles, respectively. This helps the AI to tailor its responses more accurately to the user's needs and context.

  • Can you give an example of a task-oriented prompt?

    -A task-oriented prompt could be 'Generate a three-month plan,' 'Summarize the top three takeaways from a document,' or 'Categorize the following items according to their emotions.' These prompts are clear and direct, asking the AI to perform a specific task.

  • How does the format and tone affect the AI's response?

    -The format and tone of the prompt guide the AI on how to structure its response. For example, asking for a PDF or a bullet-point list will result in a response formatted accordingly. The tone can also influence the style of the AI's answer, such as being formal or casual.

  • What is the role of context in prompt engineering?

    -Context in prompt engineering provides necessary background information that helps the AI understand the user's needs better. It can include details about the user's background, the situation they are in, or the environment they are referring to.

  • How can prompt engineering be used in professional settings like job interviews?

    -In professional settings like job interviews, prompt engineering can be used to practice responses to common questions, such as 'Tell me about yourself' or 'Explain a project you worked on.' It can also help in preparing for behavioral questions using the STAR (Situation, Task, Action, Result) method.

  • What are the benefits of using prompt engineering in daily workflows?

    -Using prompt engineering in daily workflows can lead to more efficient and effective use of AI tools. It can save time, improve the quality of tasks performed by the AI, and provide more personalized and relevant information to the user.

  • How can one enhance their prompt engineering skills?

    -To enhance prompt engineering skills, one can practice by creating various types of prompts, analyzing the AI's responses, and refining the prompts for better outcomes. Additionally, learning from examples and experimenting with different formats and tones can also improve one's ability to effectively use prompt engineering.

Outlines

00:00

🔍 Introduction to Prompt Engineering

The speaker begins by addressing audience inquiries about 'prompt engineering,' a technique for eliciting desired AI responses. They introduce the concept by explaining that it involves crafting prompts that guide AI to produce specific, accurate outputs. The paragraph discusses different types of prompts, such as 'one-shot' prompts that require a single input to generate an answer. The speaker emphasizes the importance of following a structured format, which includes task, context, exemplar, persona, format, and tone, to achieve the best results. They also touch on the practical applications of prompt engineering in daily work and life, suggesting that it can yield positive outcomes. The paragraph concludes with an invitation to explore further through an immersive learning experience, real-world projects, and job opportunities, hinting at a course or platform that supports professional development in this field.

05:03

🛠️ Advanced Prompt Engineering Techniques

This paragraph delves deeper into the nuances of prompt engineering, illustrating how context and persona play critical roles in tailoring AI responses. The speaker provides examples of how to frame prompts based on specific scenarios, such as requesting a recipe with available ingredients or seeking a solution to a problem using available resources. They also discuss the importance of providing a clear task and context to receive relevant AI assistance. The paragraph further explores the concept of 'persona' in prompt engineering, explaining how it can simulate different roles or perspectives to elicit targeted responses. The speaker encourages the audience to experiment with various formats, such as PDF generation or ASCII diagrams, to see how AI can adapt to different output requirements. The summary ends with an encouragement to use these advanced techniques to enhance one's proficiency in prompt engineering.

10:03

🚀 Upgrading Prompt Engineering Skills

In the final paragraph, the speaker wraps up the video with a call to action for continuous learning and improvement in the field of prompt engineering. They encourage viewers to upgrade their skills and explore the advanced levels of prompt engineering to stay ahead. The paragraph is brief and serves as a motivational conclusion to the video, suggesting that there is always more to learn and achieve in this dynamic field.

Mindmap

Keywords

💡Prompt Engineering

Prompt Engineering refers to the art of crafting input prompts in a way that guides the AI to produce a desired output. In the context of the video, it is about structuring questions or commands to a chatbot or AI system to elicit accurate and helpful responses. The video emphasizes the importance of clear and specific prompts to get the most out of AI assistants, suggesting that a well-crafted prompt can significantly enhance the interaction with AI systems.

💡One Shot

One Shot, as mentioned in the video, is a type of prompt where a single input is provided to the AI, and it is expected to return the correct answer without further interaction. This is in contrast to more iterative or conversational interactions where multiple exchanges might be needed to reach the desired outcome. The video suggests that a one-shot prompt is a straightforward approach to getting a quick answer from an AI.

💡Context

Context in the video script refers to the background information or the setting in which a task is performed. Providing context helps the AI to understand the scenario better and tailor its response accordingly. For example, if you're asking for a recipe, providing context such as the ingredients you have on hand can help the AI generate a recipe that fits your situation.

💡Exemplar

An Exemplar in the video is used to illustrate what kind of output is expected from the AI. It serves as a sample or a model response that the user wants the AI to follow. By providing an exemplar, the user guides the AI towards a specific style or format of response, which can be crucial for tasks that require a particular output structure.

💡Persona

Persona in the video script is about defining the character or role that the AI should assume when responding. This could be a professional role like a hiring manager or a more general persona like a friendly assistant. By setting a persona, the user can influence the tone and style of the AI's response to match a specific interaction or dialogue.

💡Format

Format in the video refers to the structure or layout in which the AI presents its response. This could include the use of bullet points, markdown, or a narrative style. The format is important because it can affect the readability and usefulness of the AI's output, making it easier for the user to consume and act upon the information provided.

💡Tone

Tone in the video script is about the attitude or mood conveyed in the AI's response. It can range from formal to casual, optimistic to pessimistic, and so on. The tone is significant as it influences how the user perceives the AI's response and can impact the effectiveness of the communication.

💡Task

A Task in the video is a specific action or activity that the user wants the AI to perform. This could be generating a document, analyzing data, or providing information. The task is central to the interaction as it defines the purpose of the prompt and guides the AI towards a particular output.

💡Interactive Learning

Interactive Learning mentioned in the video refers to an educational approach where learners engage with the material through interactive exercises, simulations, or discussions. This method is said to enhance understanding and retention by involving the learner actively in the learning process. The video suggests that using AI in an interactive learning environment can provide a more immersive and effective learning experience.

💡Real World Projects

Real World Projects in the video script are practical, hands-on tasks or assignments that simulate or involve actual work scenarios. These projects are valuable for learners as they provide opportunities to apply theoretical knowledge to practical situations, thereby enhancing learning and skills development. The video implies that incorporating real world projects in AI-assisted learning can make the educational experience more relevant and impactful.

Highlights

Introduction to Prompt Engineering and its significance in utilizing AI effectively.

Definition of Prompt Engineering and its role in getting desired AI responses.

Explanation of 'One Shot' prompts and their efficiency in AI interaction.

The importance of providing examples within prompts to guide AI responses.

Different types of prompts and their applications in daily workflows.

The structure of an effective prompt including task, context, exemplar, persona, format, and tone.

The significance of exemplar and persona in crafting successful prompts.

How to use task-oriented prompts to get AI to perform specific actions.

The concept of simple and multiple tasks in prompt engineering.

Real-world application examples of prompt engineering in coding interviews and summarization tasks.

The role of data science in enhancing prompt engineering and immersive learning experiences.

Advantages of using prompt engineering in professional development and job opportunities.

How prompt engineering can assist in salary negotiations and career advancement.

The impact of user background and environment on the effectiveness of prompts.

The importance of providing context and examples when asking AI for assistance.

How to use persona in prompts to simulate specific user scenarios and get tailored responses.

The variety of formats AI can generate based on the prompt, including ASCII diagrams, PDFs, and bullet points.

Encouragement to explore and upgrade one's skills in prompt engineering for better AI interaction.

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