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HomeA.I. MarketingChain of Thought Prompting: Prompt Engineering with Chain of Thought for ChatGPT 4

Chain of Thought Prompting: Prompt Engineering with Chain of Thought for ChatGPT 4

Chain of Thought Prompting: Prompt Engineering with Chain of Thought for ChatGPT 4 provides an introduction to using Chain of Thought prompting with ChatGPT 4.

What is Chain of Thought Prompting?
Chain of Thought prompting is a type of AI prompt that leads the AI through the correct thinking process to answer the question. This means that instead of assuming the AI automatically knows the best way to figure out the question, we can lead the AI through the thinking process to reach the best result.

By doing this, it is possible to get much more accurate and thorough results than is possible when simply asking an AI a question and expecting the right answer back in return.

Introduction to General Problem Solving
Before going into the details of Chain of Thought prompting, this book discusses the ways that people approach different types of problems. This provides the background needed to guide AI to use the same problem solving methods as are used by people.

Emergent Capabilities of ChatGPT
In addition to explaining methods of Chain of Thought prompting, this book showcases emergent capabilities of ChatGPT such as:Using ChatGPT to perform psychoanalysis.Simulating the human mind using ChatGPT.A psychoanalytical product recommendation method.Enhancing AI results by simulating specific areas of the mind.
From the Publisher

Master AI Problem Solving by using Advanced Prompt Engineering Techniques

This book shows how humans solve problems and how to categorize problems before finding a solution.This book shows how humans solve problems and how to categorize problems before finding a solution.

This book shows how innovative prompt engineering methods can be applied to real scenarios to 'lift' the capabilities of AI systems like ChatGPT-4, pushing the boundaries of what Artificial Intelligence can achieve in real-world problem-solving, by:

Understand the human problem solving process.Categorizing problems before finding a solution.Using structured problem solving in AI.

This multi-step approach is combined with cutting-edge techniques that enhance the output of ChatGPT-4 including:

Casting Real-World Problems: Transform real-world scenarios into specific problem types that AI can understand and tackle more effectively.Using Specialized GPTs: Use custom GPT models that specialize in distinct areas or problem types to gain enhanced ChatGPT processing capabilities.Simulating Human Thought Processes: Explore how AI can synthesize human reasoning to provide deeper, more intuitive solutions and interactions.
Publication date ‏ : ‎ March 2, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 7502 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Sticky notes ‏ : ‎ On Kindle Scribe
Print length ‏ : ‎ 298 pages

Chain of Thought Prompting is a powerful technique for prompting and guiding the responses of AI models like ChatGPT 4. Prompt Engineering with Chain of Thought involves creating a series of interconnected prompts that lead the model towards a specific line of thought or topic. This technique can help users achieve more focused and coherent responses from the AI model, making conversations more productive and engaging. The concept of Chain of Thought Prompting builds upon the idea of prompt engineering, which involves crafting well-designed prompts that elicit desired responses from AI models. By stringing together a series of prompts that build upon each other, users can guide the AI model towards a particular line of thought or argumentative structure. This can be especially useful in conversations where users want to explore a specific topic in depth or lead the AI model towards a specific conclusion. For example, let's say a user wants to discuss the effects of climate change on the environment with ChatGPT 4. Instead of asking a broad question like "What are the effects of climate change?", the user could create a Chain of Thought prompt that starts with a general question like "What are some environmental changes that have been observed in the past century?" This initial prompt sets the stage for a conversation about environmental changes, leading the model towards the desired topic of climate change. The user can then follow up with more specific prompts that delve deeper into the topic, such as "How has rising global temperatures contributed to the melting of polar ice caps?" or "What impact does deforestation have on biodiversity loss?" By building a Chain of Thought prompt that guides the model through a series of interconnected questions, the user can steer the conversation towards a more focused and informative discussion about the effects of climate change on the environment. Chain of Thought Prompting is a versatile technique that can be applied to a wide range of topics and discussions. By carefully crafting a series of prompts that lead the AI model towards a specific line of thought, users can enhance the quality and relevance of their interactions with AI models like ChatGPT 4. Whether you're engaging in a casual conversation or conducting a more structured interview, prompt engineering with Chain of Thought can help you achieve more meaningful and engaging interactions with AI models.

Price: $9.99
(as of Jun 06, 2024 13:24:31 UTC - Details)

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