Generative AI

University Institute of Engineering and Technology, Kurukshetra University, University, Thanesar, 136119

GDG on Campus University Institute of Engineering and Technology, Kurukshetra University - Kurukshetra, India

In a GenAI session, you'll learn how to interactively work with AI. You can give prompts to the AI to get answers to questions, generate content, get help with writing code, and brainstorm new ideas. This session provides you with real-time assistance and insights on any topic through AI's language understanding.

Nov 8, 2024, 5:15 – 6:15 AM (UTC)

126 RSVP'd

Key Themes

AIAI - GeminiBuild with AITech Talk / Meetup

About this event

In this Generative AI (GenAI) session, you’ll learn how to interact with advanced AI models to accomplish a variety of tasks effectively.

Key Takeaways from a GenAI Session:

Crafting Effective Prompts: You'll understand how to write prompts that guide AI in generating accurate and relevant responses, whether you need answers, content, or ideas.

Generating Content and Summarization: The AI can help you create articles, social media posts, or summaries of complex information, saving time and boosting productivity.

Coding Assistance: Developers can use GenAI to generate code, debug errors, and explain complex programming concepts across multiple languages.

Multi-Turn Conversations: The AI retains conversation context, allowing for more dynamic, responsive interactions where it remembers previous inputs.

Creative Brainstorming: GenAI is excellent for brainstorming ideas, outlining projects, and proposing solutions, making it a helpful tool for innovation and creativity.

Applications of GenAI:

Professionals use GenAI for content creation, customer service, and research, while students benefit from personalized tutoring. Businesses leverage it for marketing and automation, and developers find it useful in writing and optimizing code.

In summary, a GenAI session provides a hands-on experience with AI as a flexible tool for learning, creativity, and productivity, making it a valuable resource across various domains.

Organizers

  • Yash Kumar

    GDGoC Organizer

  • Riyanshi Varshney

    Promotion team member

  • vineet bathla

    Machine Learning Member

  • Archisha Dixit

    Machine Learning Member

  • Bhavika Gaur

    Machine Learning Member

  • Muskan Jaglan

    Machine Learning Member

  • Sonakshi Chauhan

    Machine Learning Member

  • Tannu Siwach

    Web Development member

  • Shubham Panchal

    Web Development member

  • Sachdev Kumar

    UIET Kurukshetra, Kurukshetra University

    Machine Learning member

  • Teena Sharma

    GDGC community

    Gdgc non-tech lead

  • Neha Yadav

    GDGC community UIET, KUK

    GDGC content team member

  • Harsh Matwaya

    Promotion team member

  • Agamdeep Singh

    Promotion Team member

  • Tushar Mandhan

    Content Team member

  • Anjali Sangwan

    Cyber Security Team member

  • Hemant kumar Ray

    Graphics Team member

  • Aashish yadav

    Web Development Team Co-lead