Prompt Engineering Fundamentals (AAI201)

This module introduces students to the fundamentals of crafting effective prompts and fine-tuning of Large Language Models (LLMs). Students will explore strategies to optimize LLM interactions, from designing precise prompts to customizing model behaviour for specific tasks for various realworld use-cases. Students also will be delving into LLM fine-tuning methodologies.

• Introduction to Large Language Models (LLMs)
• Basics of Prompt Engineering
• Designing Effective Prompts
• Customization of LLM Behaviour
• Fine-tuning Methodologies of LLMs
• Optimizing LLM Interactions
• Workflow Design and Customization
• Evaluation of LLM Responses
• Refinement of LLM Responses10
• Ethical Considerations in Prompt Engineering
• Advanced Prompt Engineering Techniques
• Case Studies in Prompt Engineering

• Outline the foundational principles of Large Language Models.
• Describe the behaviour of Large Language Models in response to various prompts.
• Discuss LLM responses and behaviours for quality output or outcome.
• Analyze the importance and intricacies of crafting precise and effective prompts for LLMs
• Apply strategies and techniques for fine-tuning LLMs to optimize interactions and outcomes.
• Develop custom workflows and prompts tailored for specific tasks or objectives using LLMs