DataHour: Industrial Application of Large Language Models like ChatGPT

Online 23-05-2023 07:00 PM to 23-05-2023 08:00 PM
  • 5795


  • Knowledge and Learning.


About the DataHour:

This DataHour session on the industrial application of large language models like ChatGPT is sure to be a must-attend event for anyone interested in the future of productivity tools and the industrial revolution. The speaker will delve into the vast potential of LLMs like ChatGPT and GPT-4, highlighting their revolutionary capabilities in a variety of industries.

The speaker will begin by exploring the concept of large language models and how they work, with a particular emphasis on the ChatGPT and GPT-4 models. He will then discuss the various industries where these models can be applied, including but not limited to healthcare, finance, marketing, and customer service.

During the webinar, the speaker will also compare and contrast other open-source competitors to LLMs like ChatGPT and GPT-4, highlighting their strengths and limitations. Additionally, he will discuss the pros and cons of generative models in industrial applications, providing valuable insights for professionals who want to harness the power of these technologies in their work.

No prerequisites, people of any domain or any work experience with interest in AI can join.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Mohammed Arsalan

Senior Machine Learning Engineer at Capgemini

Mohammed Arsalan was a civil engineer who turned into a Machine learning engineer and is now working at Capgemini as Senior Machine Learning Engineer. He holds 3+ years of experience in this domain. He believes in learning and building cutting-edge solutions using generative AI models.

Connect with Arsalan on Linkedin and Twitter.


Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest



We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.