Introduction to Prompt Engineering and AI Tools

AI Tools Session photo 1 Prompt Engineering photo 2

Programme Name: Introduction to Prompt Engineering and AI Tools

Date of the event: May 25, 2025

Speaker: Vaishak V S

Venue: Google Meet

Event Overview

The online session titled "Introduction to Prompt Engineering and AI Tools" was conducted by Vaishak V S, aimed at introducing participants to the rapidly evolving domain of Artificial Intelligence (AI), especially focusing on Prompt Engineering and the effective use of AI-powered tools. He not only explained the concepts in detail but also demonstrated how to use various AI tools live during the presentation.

Objective of the Event

The main goal of the session was to help students and AI enthusiasts understand how to interact effectively with AI systems like ChatGPT by crafting high-quality prompts, and to explore the wide variety of tools available under generative AI.

Session Highlights

Prompt Engineering:

The speaker explained prompt engineering as the skill of crafting clear and purposeful prompts to get useful, accurate responses from AI tools. Key tasks involved:

  • Designing, testing, and refining prompts
  • Monitoring and updating prompt libraries
  • Enhancing human-AI interaction

Understanding AI and ML:

Participants were introduced to the basics of AI (machines simulating human intelligence) and Machine Learning (AI's subfield that learns from data instead of strict programming).

Generative AI:

The concept of Generative AI, which focuses on producing new content like text, images, and music, was explored in detail. It highlighted how AI can now act creatively—similar to writers, artists, or musicians—by learning from large datasets.

LLMs & Transformer Models:

The session also touched on the underlying models that power tools like ChatGPT—Large Language Models (LLMs)—and how they use transformer architecture to understand context and generate responses intelligently.

Prompt Best Practices:

Participants were given best practices for writing prompts, including:

  • Giving clear instructions
  • Specifying format
  • Adopting personas
  • Avoiding biased phrasing
  • Limiting the scope of queries

AI Tools Explored

The session showcased a wide range of tools across various domains:

  • Text Generation: Rytr, Jasper, Copy.ai
  • Image Generation: DALL·E 3, Midjourney, Craiyon
  • Video Creation: Runway ML, Pictory, Deepbrain AI, Google Veo
  • Speech Generation: Murf.ai, Fliki
  • Music Generation: Suno, Beatbot, Mubert
  • Code Generation: GitHub Copilot, Seek, Durable
  • Other Notable Tools: Bolt, v0 by Cursor, Windsurf, Lovable

Conclusion

The event was informative and interactive, giving participants a solid foundation in understanding how modern AI models work and how to utilize AI tools in practical, creative, and technical fields. The session encouraged students to explore the power of prompt engineering and adopt AI as a smart assistant in various domains like writing, designing, coding, and beyond.