DataHour: Practical Guide to Train Your Own Large Language Models

In recent months, there has been significant buzz surrounding large language models (LLMs), with the introduction of ChatGPT propelling LLMs and Generative AI into the public eye. CXOs are now actively seeking ways for their organizations to achieve early success in Gen AI, aiming to gain a competitive advantage or to avoid the fear of missing out (FOMO).

However, the process of building one's own LLM raises several questions: What techniques or models are currently available? What tech stack is required? Does the LLM model pipeline resemble a typical ML Ops pipeline? At this Datahour, we invite you to join us for an enlightening discussion that addresses these inquiries and provides valuable insights into the world of large language models and their implementation.

Prerequisites: It is beneficial to have a basic familiarity with Machine Learning and NLP for this webinar.

Meet Shuvam Sengupta, a visionary leader in the world of AI/ML Product Design & Engineering and AI for Digital at Wells Fargo India & Philippines. With over 16 years of extensive experience, Shuvam has been at the forefront of leading AI/ML and analytics teams across various industries, notably BFSI, payments, and retail.His passion for innovation shines through in his impressive portfolio of multiple granted and filed US patents, making him a true inventor in the field of AI and technology. Shuvam's inquisitive nature drives him to stay up-to-date with the latest advancements in data science, AI/ML, and emerging technologies, ensuring that he remains at the cutting edge of his domain.