AI Sphere

AI Sphere

By RamasubramaniamTechnology
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AI Sphere episodes

  • Introducing the Book Demystifying Business Data Visualization

    The show quickly introduces the book "Demystifying Business Data Visualization" by Dr. M. Ramasubramaniam and Mr. Daniel Peter. Here is the link for full book:

    Amazon.com:

    DEMYSTIFYING BUSINESS DATA VISUALIZATION , Ramasubramaniam , Dr. M., Peter, Mr. Daniel, eBook - Amazon.com

    Amazon.in:

    Buy DEMYSTIFYING BUSINESS DATA VISUALIZATION Book Online at Low Prices in India | DEMYSTIFYING BUSINESS DATA VISUALIZATION Reviews & Ratings - Amazon.in

    4 min
  • Origins of AI
    Hello listeners, we are back after a long pause. This time, we have a new guest in our show. This episode explores the history of AI from 1940s.
    21 min
  • AI and Google Layoffs in Advertising
    In this episode, we delve into the recent news in the topic of AI and employment, the potential layoffs by google for its ad sales department. https://www.theinformation.com/articles/google-plans-ad-sales-restructuring-as-automation-booms
    The statements made towards the end of this episode are purely opinion of the host.
    5 min
  • Cracking the Code: Can Project Q* Lead to AGI?

    Welcome to today's episode of AI Sphere, where we'll be

    exploring the recent controversial topic in the world of AI -The artificial
    general intelligence, or AGI. AGI refers to a hypothetical AI system that
    possesses the ability to understand, learn, and apply knowledge across a wide
    range of tasks, much like human intelligence. It has sparked intense debates about its potential impact on job displacement and broadly on the society.

    16 min
  • GPT 3.5 Turbo 0613 vs GPT 3.5 Turbo 1106

    In this episode, we compare the performance of ChatGPT turbo 0613 with ChatGPT turbo 1106. We experiment with API based RAG system, chatting with pdfs which address the area of machine learning fairness and present qualitative results of the comparison. Enjoy listening!

    17 min
  • When and how to fine tune GPT 3.5 Turbo - Fine tuning 101

    In this episode, we will explore the process of fine-tuning GPT 3.5, an advanced language model. We will introduce the concepts of zero-shot, few-shot, and multi-shot learning,

    and discuss how they relate to fine-tuning. We will also cover the use cases for GPT 3.5 fine-tuning and the steps involved in the fine-tuning process. Fine-tuning allows developers to customize GPT 3.5 Turbo to suit different use cases, improving its performance on specialized tasks. With this podcast, you will gain a comprehensive understanding of the latest developments in AI and how to unlock its full potential.

    53 min

About AI Sphere

From the publisher's feed

AI Sphere is a podcast about the world of AI and associated technologies. The host is a business school professor and an avid researcher in the field of supply chain, logistics with special interest towards applications of machine learning, deep learning, and artificial intelligence. You can connect with the host in LinkedIn: https://bit.ly/3Gy3Gnb.