Gen-AI in Action Tools, Techniques, and Trends

Smt. Kashibai Navale Medical College and General Hospital, 49/1 Mumbai Pune Bypass Road Flyover, Pune, 411041

GDG on Campus Shrimati Kashibai Navale College of Engineering - Pune, India

Join us for an insightful session on Gen-AI in Action, where we will explore the essential tools and techniques used in Generative AI development. Discover popular frameworks like TensorFlow and learn about innovative methodologies, including neural networks and reinforcement learning. This event is perfect for anyone looking to understand how Gen-AI is shaping the future of technology.

Oct 4, 4:45 – 7:30 AM (UTC)

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Key Themes

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About this event

Generative AI (Gen-AI) is revolutionizing the tech landscape, offering innovative solutions across various domains. This event, Gen-AI in Action: Tools, Techniques, and Trends, aims to provide participants with a comprehensive understanding of the key tools and methodologies that drive the Gen-AI revolution.

We will kick off the session with an overview of what Generative AI entails, exploring its fundamental concepts and how it differentiates itself from traditional AI approaches. As we delve deeper, attendees will discover the various tools that are pivotal in the development of Gen-AI applications. Popular frameworks such as TensorFlow and PyTorch will be highlighted, demonstrating their roles in building and deploying Gen-AI models. Participants will gain insights into how these tools simplify complex processes, making it easier for developers and researchers to create innovative solutions.

The session will also focus on innovative techniques utilized in Gen-AI. We will cover methodologies like neural networks, reinforcement learning, and transfer learning, illustrating how these approaches enhance the capabilities of Gen-AI systems. By examining real-world applications, participants will see firsthand how these techniques contribute to advancements in various sectors, including healthcare, entertainment, and marketing.

Moreover, the event will address the current trends shaping the future of Gen-AI. Topics will include significant advancements in natural language processing, where models like GPT-4 are changing the way we interact with technology, and image generation, with tools such as DALL-E creating realistic visuals from text prompts. Discussions will also encompass the ethical considerations surrounding the deployment of Gen-AI technologies, emphasizing the importance of responsible AI development in today’s society.

By the end of the event, attendees will not only understand the technical aspects of Gen-AI but also appreciate its transformative potential. Whether you're a seasoned developer, a student, or simply interested in the future of technology, this event will equip you with the knowledge and insights necessary to navigate the evolving landscape of Generative AI. Join us for an engaging and informative session that promises to illuminate the fascinating world of Gen-AI and inspire you to explore its myriad possibilities.

Agenda

4:45 AMHOD & Faculty Felicitation
5:00 AMAbout GDG & It's Transition from GDSC
5:45 AMGen-Ai & It's Applications
6:15 AMRegistration of students for Gen-Ai Study Jams
7:00 AMHandover Ceremony

Organizers

  • Ojas Bhalerao

    Google Developers Groups

    Organizer

  • Sarah Khambatta

    SKNCOE

    Web Development Lead

  • Soham Gurav

    AI/ML Lead

  • Kabir Talbhandare

    SKNCOE

    AL/ML Co-Lead

  • Sanjana Kawade

    Cloud Computing Lead

  • Sanket Nagpal

    Cloud Computing Co-Lead

  • Tvisha Ghiya

    UI/UX Lead

  • Aarya Anekar

    UI/UX Co-Lead

  • Tanmay Ashturkar

    GDG SKNCOE

    Social Media Lead

  • Aditi Deshpande

    Social Media Co-Lead

  • Sanjana Puraswani

    Google Developer's Group, SKNCOE

    Women Tech Lead

  • Srushti Kshirsagar

    Women Tech Co-Lead

  • Pranit Agale

    Sponsorship Team Lead

  • Arjun Patil

    SKNCOE

    Sponsorship Co-Lead

  • Shweta Ghate

    Google Developers Groups,Skncoe

    Event Management Lead

  • chidrawar ritesh

    Management Team Co-Lead

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