Prompt Engineering Strategies   26-slide PPT PowerPoint presentation (PPTX)
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Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
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Prompt Engineering Strategies (26-slide PPT PowerPoint presentation (PPTX)) Preview Image
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Prompt Engineering Strategies (PowerPoint PPTX)

PowerPoint (PPTX) 26 Slides FlevyPro Document

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This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
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This product (Prompt Engineering Strategies) is a 26-slide PPT PowerPoint presentation (PPTX), which you can download immediately upon purchase.

"Prompt Engineering" is the art and science of writing the prompt to elicit the desirable or useful results from the Artificial Intelligence (AI) tool you are using. In Prompt Engineering, the description of the task is embedded in the input, e.g., as a question instead of it being implicitly given.

Like in most processes and systems, the quality of the inputs determines the quality of the outputs—i.e., garbage in, garbage out. With ChatGPT, other generative AI applications, and similar prompt-based AI models, the input is the prompt. Thus, it is imperative that the user write a well-crafted and articulated prompt to generate the highest quality, most desired output. Designing effective prompts increases the likelihood that the model will generate the most favorable and contextual response.

Prompt Engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "prompt-based learning" or just "prompt learning."

This PowerPoint presentation explains 5 Prompt Engineering Strategies you can leverage to maximize the effectiveness of your prompts (when using ChatGPT and other prompt-based AI tools):

1. RTF (Role-Task-Format)
2. Chain of Thought (CoT)
3. RISEN Framework
4. RODES Framework
5. Chain of Density (CoD)

These Prompt Engineering frameworks allow for personalized and adaptive AI interactions, leading to superior Customer Experiences and increased Customer Satisfaction. Well-crafted prompts reduce the need for repetitive adjustments or manual interventions, leading to decreased operational costs.

Using standardized frameworks facilitates training and onboarding, allowing businesses to scale ChatGPT or other AI implementations smoothly across various departments or functions. Within this presentation, each Prompt Engineering Strategy is discussed in detail, including use cases and examples.

For background and context, this presentation also includes introductions to ChatGPT and Prompt Engineering. It also includes slide templates for you to use in your own business presentations.

This presentation also offers a comprehensive Slide Structure & Design Guide to enhance your business presentations. Utilize these guidelines to maintain consistency and professionalism across all your slides.

Got a question about the product? Email us at flevypro@flevy.com. If you cannot view the preview above this document description, go here to view the large preview instead.

Source: Best Practices in Prompt Engineering, ChatGPT PowerPoint Slides: Prompt Engineering Strategies PowerPoint (PPTX) Presentation, LearnPPT Consulting


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This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
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