Unlocking Creativity : An Introduction To Generative AI, Machine Learning and Python
On 6th March, the IEEE JUIT Student Branch hosted a captivating session titled "Unlocking Creativity: An Introduction to Generative AI, Machine Learning, and Python." Led by Aryam Sharma, Kshitiz Tayal, and Viren Tanti, the session aimed to explore the realms of artificial intelligence (AI) and machine learning (ML), with a specific focus on generative AI techniques. The speakers commenced by providing an overview of AI and ML fundamentals, emphasizing their relevance and transformative potential in contemporary technology. They then delved into the concept of generative AI, elucidating its mechanisms and showcasing its applications through illustrative examples and case studies.
Throughout the session, attendees gained insights into how generative AI enables the creation of novel content, including images, music, and text, thereby unlocking new avenues for creative expression. Furthermore, Python programming language, renowned for its versatility in AI and ML development, was introduced as a key component of the session. The speakers demonstrated Python's suitability for implementing machine learning algorithms and conducted practical coding exercises to familiarize attendees with its syntax and functionalities.
One of the notable aspects of the session was its interactive nature, fostering active participation from the attendees. Through engaging discussions, Q&A sessions, and hands-on coding exercises, participants had the opportunity to deepen their understanding of the topics covered and engage in collaborative learning experiences. The session concluded on a high note, leaving attendees equipped with essential knowledge and skills to embark on their journey into the captivating world of AI-driven creativity.
Date and Time
Location
Hosts
Registration
- Date: 06 Mar 2024
- Time: 05:15 PM to 07:40 PM
- All times are (UTC+05:30) Chennai
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- Jaypee University of Information Technology
- Solan, Himachal Pradesh
- India 173234
- Room Number: CL - 1
- Click here for Map