Prompt Engineering Workshop

Prompt engineering is the process of structuring text that can be interpreted and understood by a generative AI model. A prompt is natural language text describing the task that an AI should perform. Prompt engineering is the practice of designing inputs for generative AI tools that will produce optimal outputs.

Prompt engineering is an artificial intelligence engineering technique that serves several purposes. It encompasses the process of refining large language models, or LLMs, with specific prompts and recommended outputs, as well as the process of refining input to various generative AI services to generate text or images.

Objective:

• How to apply prompt engineering to effectively work with large language models, like ChatGPT ?
• How to use prompt patterns to tap into powerful capabilities within large language models ?
• How to create complex prompt-based applications ?

 Topics to be Covered in Workshop

Day 1

Module 1: Understanding Prompt Engineering

Artificial Intelligence

• AI vs. ML vs. GenAI
• Machine Learning: Learning by Example
• Large-Language Models
• Generative AI: From Classification to Creation
• From Recognition to Understanding

Areas of Greatest Impact

• Product Design and Development
• Customer Service
• Marketing
• Retail
• Financial Services
• Medical
• Manufacturing

Movers and Shakers

• OpenAI
• Microsoft
• Google
• Amazon
• Open-Source Solutions

Foundational Models

• OpenAI GPT
• Google PaLM
• Meta AI Llama

Prompt Engineering

• Asking the Right Questions
• Adding Context
• Types of Prompts
• What is Model ?
• What is Token ?

Module 2: Prompt Engineering using ChatGPT

• Introduction to Artificial Intelligence and Chatbots: 
• Overview of AI and its applications in chatbots.
• Understanding the components and functionality of a chatbot.
• Introduction to Natural Language Processing (NLP): 
• Basics of NLP and its role in understanding human language.
• Using Python's nltk library for text processing tasks.
• Building a Simple Rule-based Chatbot: 
• Using regular expressions (re) to identify patterns in user input.
• Creating rules to generate predefined responses based on patterns.
• Integrating User Input and Responses: 
• Setting up a basic chat interface using Python.
• Combining user input processing with predefined responses to create a functional chatbot.

Day 2

• Enhancing Your Chatbot's Performance: 
• How to improve your chatbot's responses using input conditioning.
• Understanding prompts and tips to get better results from ChatGPT.
• Using ChatGPT for Specific Tasks: 
• Exploring use cases where ChatGPT can be helpful, such as customer support or content generation.
• Customizing ChatGPT for specific tasks using prompts and instructions.
• Guidelines for creating responsible and unbiased chatbots.
• OpenAI Playground & Prompt Engineering

Duration: The duration of this workshop will be two consecutive days, with 6-7 Hours Session each day in a total of twelve to fourteen hours properly divided into theory and hands on sessions.

Certification Policy:

• Certificate of Participation for all the workshop participants.
• At the end of this workshop, a small competition will be organized among the participating students and winners will be awarded with a 'Certificate of Excellence'.
• Certificate of Coordination for the coordinators of the campus workshops.

Eligibility: There are no prerequisites. Anyone interested, can join this workshop.