Large Language Models and ChatGPT: Statistical and Ethical Perspectives

Speaker:  Swagatam Das – Kolkata, India
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Large Language Models (LLMs) like ChatGPT have garnered significant attention for their impressive capabilities in natural language understanding and generation. This talk delves into the statistical underpinnings of LLMs, shedding light on the technologies that make them work and the data-driven methods that enable them to process and generate human-like text. We will explore the architecture, training, and fine-tuning processes that have contributed to the success of LLMs in various applications, from chatbots to content generation. However, the rise of LLMs also brings forth critical ethical concerns. As these models become more prevalent in our daily lives, questions about biases in training data, ethical use cases, and potential consequences of misuse become paramount. This presentation will discuss the ethical implications of deploying LLMs, including issues related to bias, privacy, misinformation, and their impact on society. By examining both the statistical foundations and ethical dimensions of LLMs, this talk aims to provide a comprehensive understanding of these powerful language models and encourages a thoughtful discussion on how they can be harnessed for the betterment of society while mitigating potential harms.

About this Lecture

Number of Slides:  75
Duration:  90 minutes
Languages Available:  English
Last Updated: 

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