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.
Prompt engineering PPTX: Learn proven strategies and frameworks to craft effective AI prompts. Download this professional PowerPoint to master prompt design now. Prompt Engineering Strategies is a 26-slide PPT PowerPoint presentation slide deck (PPTX) available for immediate download 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.
This PPT slide presents 5 frameworks for Prompt Engineering to optimize ChatGPT and similar AI technologies. The RTF (Role-Task-Format) framework defines the role of ChatGPT, the specific task, and the desired output format, ensuring clarity for effective AI utilization. The Chain of Thought (CoT) framework enhances analytical capabilities by breaking tasks into manageable steps for deeper insights. The RISEN framework outlines the role, provides detailed instructions, sets an end goal, and establishes narrowing guidelines for complex tasks. The RODES framework focuses on tasks resembling prior examples, detailing the role, objective, and including specific examples for comprehension. Lastly, the Chain of Density (CoD) framework employs recursion to refine outputs based on benchmarks for continuous improvement. Well-crafted prompts can reduce adjustments and manual interventions, lowering operational costs and facilitating smoother AI scaling across departments.
The RISEN framework optimizes ChatGPT's capabilities through 5 components: Role, Instructions, Steps, End Goal, and Narrowing. The Role component defines ChatGPT's persona, influencing response tone and depth. Instructions provide detailed guidance for task engagement. Steps outline a logical problem-solving progression. The End Goal specifies the desired outcome for measuring interaction effectiveness. Narrowing introduces constraints to filter unnecessary information. Case examples demonstrate RISEN's application, such as using ChatGPT for competitive analysis to assess market strengths and weaknesses, or for operational efficiency focused on supply chain processes. The framework also aids in strategy formulation, guiding AI to develop comprehensive growth plans, such as crafting entry strategies for specific markets.
This PPT slide provides an overview of "Prompt Engineering," a key concept in artificial intelligence and natural language processing. Crafting precise prompts is essential for achieving desired outcomes from AI tools like ChatGPT, as the quality of input directly influences output quality, summarized by "garbage in, garbage out." Effective prompting techniques, such as summarizing text or generating content in specific styles, demonstrate how varied prompts lead to different outputs, highlighting the importance of specificity. The concept of "prompt-based learning" involves training language models on specific datasets to enhance response accuracy, crucial for organizations optimizing AI interactions. An analogy likens prompting an AI to asking a genie for a wish, emphasizing the need for clarity in prompt engineering to ensure expected results.
The "Chain of Density" (CoD) framework optimizes interactions with ChatGPT through a recursive process. It comprises 4 components: Instructions, Recursion, Benchmark, and Additional Guidelines. Instructions define the core content for exploration, setting the stage for iterative refinement. Recursion breaks down problems into simpler versions, enhancing solution focus. The Benchmark establishes a reference point for evaluating outputs, while Additional Guidelines provide further constraints to steer the process. Case examples illustrate practical applications, such as refining product descriptions for e-commerce and developing strategic proposals based on stakeholder input. Users are encouraged to summarize sustainability initiatives, iterating for clarity and depth, ultimately aligning ChatGPT's responses with business objectives.
Source: Best Practices in ChatGPT, Prompt Engineering PowerPoint Slides: Prompt Engineering Strategies PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting
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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