Imagify - Hands-on workshop on Generative AI by IEEE SMC MJCET

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On July 24, 2023, IEEE SMC MJCET organized the "IMAGIFY" technical event, focusing on the latent text-to-image stable diffusion model. The sessions covered Natural Language Processing, Artificial Intelligence, providing valuable insights into NLP, AI, and image-related concepts. The event included a hands-on project, quiz, and certificates, offering participants an intellectually stimulating experience and inspiring them to explore the diverse realms of Artificial Intelligence.

This event proved to be an intellectually stimulating and rewarding experience for all participants. Combining the theory sessions, hands-on learning, and a quiz, the attendees gained valuable insights into the latent text-to-image stable diffusion model, NLP, AI, Generative AI, and Image Processing. The event successfully fulfilled its goal of promoting creativity, imagination, and learning about cutting-edge technologies, leaving all attendees inspired and motivated to explore further horizons in the world of GenAI.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 24 Jul 2023
  • Time: 06:00 AM UTC to 11:00 AM UTC
  • Add_To_Calendar_icon Add Event to Calendar
  • Muffakham Jah College of Engineering and Technology is an engineering college located at Mount Pleasant
  • Road number 3, Banjara Hills.
  • Hyderabad, Andhra Pradesh
  • India 500008
  • Building: Block 5
  • Room Number: 5209
  • Contact Event Host
  • Starts 20 July 2023 06:30 AM UTC
  • Ends 24 July 2023 06:00 AM UTC
  • No Admission Charge

  Speakers

Mohammed Mubeen Uddin

Topic:

Artificial Intelligence

Next, Mohammed Mubeen took the stage and introduced the audience to Artificial Intelligence (AI). His presentation covered the basics of AI, its objectives, and the rise of AI in various industries. He debunked the myth of AI being a job killer and discussed the latest AI trends. Additionally, he analyzed the reasons for India lagging in AI adoption. An intriguing question, "Can AI imagine like a human mind?" was explored, along with an introduction to Generative AI and Large Language Models (LLMs). The limitations of Generative AI were also discussed to provide a well-rounded perspective on the topic.

Email:

Shaik Ehsan

Topic:

NLP

The event kicked off with a theory session by Shaikh Ihsan, who provided valuable insights into Natural Language Processing (NLP). The topics covered included the definition and goals of NLP, subfields of AI, the workings of NLP, and the distinction between NLU (Natural Language Understanding) and NLG (Natural Language Generation). The speaker further elaborated on the various phases and steps involved in NLP, shedding light on its applications in real-world scenarios.

Email:


Syed Zaid

Topic:

Project Introduction

The theory sessions concluded with Syed Zaid presenting the project introduction. He delved into the complexities of stable diffusion, schedulers, and libraries such as diffusers, transformers, and better-profanity. Zaid's explanation set the stage for the hands-on session, where Saniya Arshad guided the participants through the code of the latent text-to-image stable diffusion model, offering a practical understanding of the theoretical foundation given to them earlier.

Saniya Arshad

Topic:

Hands-on session on Generative AI model

Saniya Arshad guided the participants through the code of the latent text-to-image stable diffusion model, offering a practical understanding of the theoretical foundation given to them earlier.





  Media

mubeen 53.29 KiB
ehsan 49.75 KiB
saniya_ 115.04 KiB
mubashir 52.99 KiB