Under Vice Chancellor Lecture Series on topic “AI in Academics”, the third lecture series on “Prompt Techniques for Generative AI”, explored how to eenhance AI proficiency with advanced prompt engineering techniques for optimal generative AI outcomes.
Details of Expert/Speaker/Resource Person/Judge:
Country Name: India
Expert Name: Prof. (Dr.) Yogesh H. Dandwate
Organization: VIIT Pune
Designation: Professor & Dean IQAC
Specialization: Computer Science & Engineering
Point wise Outcome Report:
1) What was the Inspiration behind taking up this Particular Subject for the Webinar?
The inspiration behind this lecture series on Prompt Techniques for Generative AI stems from the growing significance of effective prompt engineering in harnessing the full potential of AI models. As generative AI continues to evolve, crafting precise and optimized prompts has become a crucial skill for improving AI-generated outputs in various domains, including content creation, coding, research, and automation. This lecture series aims to bridge the gap between AI capabilities and user intent, empowering participants to maximize AI efficiency and innovation.
2) Who were the Distinguished Guest Speakers Invited for the Event. Kindly give their Names, Designations, Organisation, Qualifications, Area of Expertise and any Honours and Awards received by them.
Details of Speaker:
Expert Name: Prof. (Dr.) Yogesh H. Dandwate
Organization: VIIT Pune
Designation: Professor & Dean IQAC
Specialization: Computer Science & Engineering
3) What was the Criteria Considered for inviting the Various Individual Guests, Internal as well as External?
The selection of speaker was based on:
· AI & Education Expertise – A speaker with hands-on experience in integrating Generative AI into learning environments.
· Academic Experience
· Innovative Contributions
4) Were the Guests Invited in Advance? Were They Recommended by Someone?
· Yes, the guests were invited in advance, ensuring proper event planning.
· Speaker was recommended by faculty member who had previously collaborated with him for some other academic work.
5) Who all attended the Webinar? Also, if possible, give the numbers.
· HoIs, Faculties, PhD Research Scholars and students: Total 132
6) What were the ‘Take Homes’ for the Guests and the Attendees in the form of knowledge, facts, information etc.? Please give the Salient Novel Points Covered by the Guest Speakers, in Bullet Points Format.
Key Learnings & Insights for Participants:
- Platform to Share Expertise – Opportunity to present advanced prompt engineering strategies and industry applications.
- Engagement with Academia – Insight into students’ and educators’ perspectives on prompt optimization for generative AI.
- Networking & Collaboration – Potential collaborations with institutions and researchers exploring generative AI advancements.
- Emerging Trends & Challenges – Exchange of ideas on ethical considerations, biases, and evolving AI prompt methodologies.
- Fundamentals of Prompt Engineering – Understanding how different prompts affect AI-generated outputs.
- Hands-on Techniques – Practical approaches to refining prompts for accuracy, creativity, and efficiency.
- Use Cases & Applications – Real-world applications in content generation, coding, design, and research.
- AI Ethics & Bias Awareness – Knowledge about responsible AI usage, avoiding biases, and ensuring fairness.
- Career & Research Opportunities – Insights into AI-driven careers, research directions, and industry demands.
7) Has the Webinar been able to generate any Tangible Gains for the Faculty, Researchers and Students of Amity. If yes, what are these?
1. Improved AI Output Quality
o Understanding effective prompting strategies leads to more accurate, coherent, and contextually relevant AI-generated responses in text, image, and code generation.
o Avoiding common pitfalls like hallucinations and vague outputs.
2. Hands-on Skill Development
o Learning structured prompt frameworks like zero-shot, few-shot, chain-of-thought (CoT), and role-based prompting to fine-tune AI interactions.
o Experimenting with advanced prompting methods for specific applications such as text summarization, creative writing, and programming.
3. Productivity Enhancement
o Mastering AI-assisted workflows to automate tasks like report writing, idea generation, debugging code, and content creation.
o Learning how to refine and iterate prompts efficiently to get the best results with minimal effort.
4. Real-world Applications
o Exploring how businesses use prompt engineering in chatbots, marketing automation, research assistance, and software development.
o Understanding how AI-generated content can be leveraged ethically and responsibly in professional settings.
5. Career and Research Benefits
o Gaining insights into emerging career opportunities in prompt engineering, AI consulting, and AI-assisted content creation.
o Learning about AI-powered research tools that streamline literature reviews, data analysis, and scientific writing.
8) What are the ‘Progressive Outcomes / Way Forward’ Planned Based on This Event?
· Interactive AI Platforms for Hands-on Practice
· Prompt Engineering Simulators
· No-Code AI Tools for Experimentation
· AI-Assisted Research & Writing Tools
· Gamification & Challenges
9) Have We Followed Up with the Guests for Further Collaborations?
Yes! We have initiated discussions with faculty members for:
· Joint Workshops & Bootcamps on other Generative AI Technologies.
· Guidance for few PhD scholars.
10) What are the Plans for Utilizing the Contacts Developed with the Invited Guests for Future Cooperation?
· Collaborative Research Projects
· Expert-Led Workshops & Training
· Inter-Institutional Partnerships
· Long-Term Networking & Knowledge Exchange