Prompt Engineering

The art of crafting effective conversation with GenAI

Prompt Engineering is a collection of practical tutorials and frameworks for getting better results from Generative AI and large language models. This section covers new and emerging prompting techniques for improving AI reasoning and output quality.

ChatGPT with PowerPoint and EXCEL : Increase productivity 10X

May 1, 2024

Leverage ChatGPT for document ( Excel and PowerPoint) processing and increase your productivity by 10X times.

ChatGPT with Word and PDF: Increase productivity 10X

April 27, 2024

Leverage ChatGPT for document ( PDF and Word) processing and increase your productivity by 10X times.

Prompt Engineering: Expand a one line thought into detailed outcome using your AI assistant

April 21, 2024

Expand a one line thought into a comprehensive detailed outcome using your personal GenAI. Start leveraging flipped interaction, outline expansion…

Prompt Engineering: The Semantic Filter Pattern

April 21, 2024

The Semantic Filter Pattern: Your AI’s Privacy and Relevance Guardian. Enhance AI Responses by Protecting User Data and Improving your…

Prompt Engineering: Few-shot prompting

April 12, 2024

Ever wish your GenAI could understand a new task without a massive amount of training data? A guide to Few-shot…

Prompt Engineering: ‘Chain of Though’ Prompting

April 12, 2024

How to Make Your AI Think Out Loud. A guide to chain of thought prompting,

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What is prompt engineering?

Prompt engineering is the practice of designing clear instructions, examples, context, and reasoning steps to guide AI models toward better and more reliable outputs.

What prompt engineering topics are covered here?

This section covers Chain-of-Thought, Tree-of-Thought, Diagram-of-Thought, multi-agent prompting, reflection prompts, role prompting, and other techniques for improving AI reasoning and output quality.

Who should read these prompt engineering tutorials?

These tutorials are useful for AI learners, professionals, educators, engineers, creators, and technology leaders who want to use Generative AI more effectively.

Debabrata Pruseth

Debabrata Pruseth is an AI Architect and Applied AI Researcher specializing in enterprise AI, generative AI, machine learning, cloud strategy, and AI governance. He combines global enterprise architecture experience with hands-on AI research and implementation.