Complete Guide to ChatGPT & Prompt Engineering (PowerPoint PPTX Slide Deck)

BENEFITS OF THIS POWERPOINT DOCUMENT

1. Understand exactly what ChatGPT is, how it works, and how to use it.
2. Learn 5 powerful Prompt Engineering Strategies to get the most out of ChatGPT.
3. See examples of how ChatGPT and Prompt Engineering works, from the basics to more advanced.

ARTIFICIAL INTELLIGENCE PPT DESCRIPTION

Complete Guide to ChatGPT & Prompt Engineering PPT: Learn AI basics, ChatGPT vs GPT, advanced prompt techniques, and business frameworks. Download now. Guide to ChatGPT & Prompting is a 62-slide PPT PowerPoint presentation slide deck (PPTX) available for immediate download upon purchase.

Explore Slides inside the Deck:

Advanced Prompt Engineering Frameworks for AI Optimization Comprehensive Overview of ChatGPT's Capabilities Foundational AI Concepts for Understanding ChatGPT

Everyone has heard of ChatGPT. Immediately after launch, it gained both fame and infamy, and grew to become the fastest growing application of all time. But, have you used it? And, more importantly, do you understand how to maximize its usage to derive the greatest value for your work or organization?

This PowerPoint presentation is a comprehensive guide to understanding ChatGPT and how to leverage it for most business activities through advanced Prompt Engineering techniques. This presentation is divided into 6 main sections:

Artificial Intelligence – The first section provides background knowledge about AI to better understand the various core concepts and technologies foundational to ChatGPT. Topics discussed include Machine Learning (ML), Large Language Models (LLM), and Generative Pre-trained Transformer (GPT). We also explain and compare GPT-3 vs. GPT-4.

ChatGPT – This section discusses the free version of ChatGPT (based on GPT-3.5). We show how to use the application and explain important topics, like limitations, criticisms, and controversies.

ChatGPT Plus – This section discusses the premium version of ChatGPT (based on GPT-4). We explain each of the 4 modes of ChatGPT Plus:
•  Default (with Image prompting)
•  Advanced Data Analysis
•  Plugins
•  DALL-E 3

Prompt Engineering – Prompt Engineering is the art and science of writing the prompt to elicit the desirable or useful results from the AI tool you are using. We break down the 6 key components of a prompt:
•  Task
•  Persona
•  Context
•  Format
•  Tone
•  Examples

Prompt Engineering Strategies – To make the most out of ChatGPT, it is imperative to learn more advanced Prompt Engineering techniques. 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. Different frameworks cater to diverse business needs, from marketing to analytics, ensuring professionals always have the right tool for the task at hand. We discuss in great depth 5 such Prompt Engineering Strategies:
•  RTF Framework
•  Chain of Thought (CoT)
•  RISEN Framework
•  RODES Framework
•  Chain of Density (CoD)

Advanced Prompting Examples – This section showcases a couple advanced prompting examples. They are full conversations that will help you better understand capabilities and potential for ChatGPT; and should illuminate ways in which you can leverage this emergent AI technology for your work or organization.

This PowerPoint presentation on ChatGPT and Prompt Engineering also includes slide templates for you to use in your own business presentations.

Gain insights into the most common applications and challenges of Machine Learning within AI. Understand how to leverage ChatGPT's capabilities for supply chain analysis and organizational design.

ARTIFICIAL INTELLIGENCE PPT SLIDES

Advanced Prompt Engineering Frameworks for AI Optimization

This PPT slide presents 5 frameworks for prompt engineering to optimize ChatGPT and similar AI technologies. The RTF (Role-Task-Format) framework guides users in defining the role, task, and output format for effective AI interaction. The Chain of Thought (CoT) framework enhances analytical capabilities through step-by-step reasoning, leading to more accurate outputs. The Risen framework addresses specific constraints by defining roles, goals, and guidelines for complex tasks. The RODES framework focuses on tasks resembling prior examples, ensuring clarity through role, objective, and comprehension checks. Lastly, the Chain of Density (CoD) framework employs recursion to refine outputs based on benchmarks, reducing manual adjustments and enhancing operational efficiencies. Standardized frameworks facilitate training and onboarding for smoother AI implementation across business functions.

Comprehensive Overview of ChatGPT's Capabilities

ChatGPT serves as a conversational interface for the GPT model, offering human-like responses and engaging in complex discussions. Key functionalities include remembering previous interactions, asking clarifying questions, and generating computer code. This positions ChatGPT as a multifunctional assistant capable of debugging, composing poetry, and summarizing conversations. Its adaptability enhances user experience, making it suitable for various contexts. ChatGPT has demonstrated its knowledge by successfully completing significant exams, including the U.S. Medical Licensing Exam and MBA assessments, indicating its capability for professional and academic applications. Former Treasury Secretary Larry Summers likens ChatGPT to transformative historical inventions, underscoring its potential impact and credibility as a tool for organizations leveraging advanced conversational AI.

Foundational AI Concepts for Understanding ChatGPT

This PPT slide outlines Artificial Intelligence (AI) and its foundational technologies, focusing on Generative Pre-trained Transformers (GPT) within ChatGPT. AI encompasses machines performing tasks requiring human intelligence, such as reasoning and natural language understanding. Machine Learning (ML), a subset of AI, uses algorithms and statistical models for data-driven learning. Large Language Models (LLMs), including GPT, utilize deep learning techniques to understand and generate text. GPT-4, the latest model, generates human-like text by predicting subsequent words. Implementing GPT can enhance organizational capabilities while necessitating careful consideration of potential risks and ethical implications.

Applications and Challenges of Generative Pretrained Transformers

This PPT slide provides an overview of Generative Pretrained Transformers (GPT) in natural language processing (NLP). Developed by OpenAI, GPT models are pre-trained on diverse internet text, allowing them to learn language patterns and generate human-like text. Key applications include automated writing and coding assistance, customer support chatbots, real-time language translation, business analytics for text summarization, and personalized educational content. Challenges include misinformation, content authenticity, data quality biases, job impact on writing sectors, and regulatory compliance with data protection laws like GDPR. Organizations must navigate these challenges when implementing GPT technology.

Optimizing ChatGPT Output with the RISEN Framework

The RISEN framework optimizes ChatGPT for business tasks through 5 components: Role, Instructions, Steps, End Goal, and Narrowing. The Role defines ChatGPT's persona, influencing response tone and depth. Instructions provide detailed task guidance, ensuring clarity in requirements. Steps outline a chronological process to enhance problem-solving. The End Goal specifies desired outcomes for success measurement, while Narrowing introduces constraints to filter irrelevant information. Practical applications include using ChatGPT for competitive analysis, operational efficiency in supply chains, and strategy formulation for actionable growth plans. A prompt example illustrates effective implementation, emphasizing context and specific directives for targeted outcomes. The RISEN framework serves as a blueprint for maximizing ChatGPT's relevance and actionability.

Source: Best Practices in Artificial Intelligence, ChatGPT, Prompt Engineering PowerPoint Slides: Complete Guide to ChatGPT & Prompt Engineering PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting