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Beyond ChatGPT: The Rapidly Evolving Landscape of AI - with Professor Simon Angus

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Manage episode 455993385 series 2686938
Content provided by ACEMS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACEMS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Artificial Intelligence, or AI, is no longer a futuristic concept. It’s here, embedded in almost every technology we use. It’s one of the most transformative forces of our time, and in this episode, we’re unpacking what that means, focusing on the powerful engines behind it: large language models, or LLM’s.

A year and a half ago, The Random Sample did an episode exploring the science behind ChatGPT and its groundbreaking use of LLM’s. Fast forward to now, and the A-I landscape has already shifted dramatically. The pace of innovation is staggering.

Today, we’re bringing back our guest from that previous episode. Simon Angus is a Professor in the Department of Economics at Monash University. Simon is also a Principal Investigator with SoDa Labs at Monash Business School, a research lab that applies new tools from data science and machine learning to answer social science questions. Simon will help us navigate what’s new, and what we should be thinking about as AI continues to reshape the world.

Whether you’re new to AI and unsure where to start, or already exploring how it can transform your work or life, this episode has something for you. Understanding this transformative technology isn’t optional. It’s essential – and Simon is here to break it all down in a way that’s clear, approachable, and practical.

Our host is Pranita Shrestha, a PhD Candidate at the Action Lab in the Faculty of Information Technology at Monash University.

Episode webpage with links: https://www.therandomsample.com.au/podcast/beyond-chatgpt-ai-landscape/

See omnystudio.com/listener for privacy information.

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 455993385 series 2686938
Content provided by ACEMS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACEMS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Artificial Intelligence, or AI, is no longer a futuristic concept. It’s here, embedded in almost every technology we use. It’s one of the most transformative forces of our time, and in this episode, we’re unpacking what that means, focusing on the powerful engines behind it: large language models, or LLM’s.

A year and a half ago, The Random Sample did an episode exploring the science behind ChatGPT and its groundbreaking use of LLM’s. Fast forward to now, and the A-I landscape has already shifted dramatically. The pace of innovation is staggering.

Today, we’re bringing back our guest from that previous episode. Simon Angus is a Professor in the Department of Economics at Monash University. Simon is also a Principal Investigator with SoDa Labs at Monash Business School, a research lab that applies new tools from data science and machine learning to answer social science questions. Simon will help us navigate what’s new, and what we should be thinking about as AI continues to reshape the world.

Whether you’re new to AI and unsure where to start, or already exploring how it can transform your work or life, this episode has something for you. Understanding this transformative technology isn’t optional. It’s essential – and Simon is here to break it all down in a way that’s clear, approachable, and practical.

Our host is Pranita Shrestha, a PhD Candidate at the Action Lab in the Faculty of Information Technology at Monash University.

Episode webpage with links: https://www.therandomsample.com.au/podcast/beyond-chatgpt-ai-landscape/

See omnystudio.com/listener for privacy information.

  continue reading

100 episodes

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