Mastering the Art of Prompt Engineering: Techniques, Best Practices, and Applications for Optimizing AI Interactions and Enhancing LLMs Responses

romasmartjoseph 45 views 8 slides Mar 09, 2025
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About This Presentation

This presentation, by Prof. Roma Smart Joseph, explores Prompt Engineering, a crucial skill for optimizing AI interactions. It explains how Large Language Models (LLMs) process prompts, different prompting techniques, best practices, and their real-world applications in chatbots, content creation, c...


Slide Content

Mastering Prompt Engineering Optimizing AI Interactions with Effective Prompts by Prof. Roma Smart Joseph

What is Prompt Engineering? Crafting effective prompts to maximize AI output Essential for harnessing the power of large language models

How LLMs Process Prompts LLMs analyze prompts, identify key elements, and generate responses Prompt clarity, intent, and context directly impact output quality Parameters like temperature and token limit fine-tune the response

Types of Prompts Instruction-based: Direct instructions to guide the AI Example-based: Demonstrating desired output with examples Role-based: Assigning a persona or role to the AI

Best Practices for Writing Prompts Be clear and specific Provide context when needed Use step-by-step breakdowns Experiment and refine responses

Crafting Effective Prompts Explain AI Explain AI in simple terms with an example Explain AI like I’m 10 years old, using a story

Advanced Prompt Techniques Chain of Thought: Guiding the AI through reasoning steps Self-Consistency: Leveraging multiple prompts for consistency Persona-Based: Defining a specific role or persona for the AI Multi-Turn Conversations: Engaging in a multi-turn dialogue

Applications of Prompt Engineering 1 Chatbots AI-powered assistants for customer service and more 2 Content Generating high-quality writing for marketing and other uses 3 Code Assisting developers with coding tasks 4 Education Personalized learning experiences tailored to individual needs