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How Large Language Models Are Revolutionizing Finance

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Manage episode 409146072 series 3385494
Content provided by Dr. Tony Hoang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Tony Hoang 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://player.fm/legal.

Large Language Models (LLMs) have the potential to transform the finance sector within the next two years, according to research by The Alan Turing Institute. LLMs can enhance efficiency and safety by quickly analyzing data and generating coherent text, enabling them to detect fraud, generate financial insights, and automate customer service. The technology also has applications in healthcare, law, and education. The finance industry is already deploying LLMs for tasks including reviewing regulations and delivering advisory and trading services. However, challenges remain around regulatory compliance and the need for explanations and predictable outputs. Collaboration between professionals, regulators, and policymakers is encouraged to address these concerns.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
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420 episodes

Artwork
iconShare
 
Manage episode 409146072 series 3385494
Content provided by Dr. Tony Hoang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Tony Hoang 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://player.fm/legal.

Large Language Models (LLMs) have the potential to transform the finance sector within the next two years, according to research by The Alan Turing Institute. LLMs can enhance efficiency and safety by quickly analyzing data and generating coherent text, enabling them to detect fraud, generate financial insights, and automate customer service. The technology also has applications in healthcare, law, and education. The finance industry is already deploying LLMs for tasks including reviewing regulations and delivering advisory and trading services. However, challenges remain around regulatory compliance and the need for explanations and predictable outputs. Collaboration between professionals, regulators, and policymakers is encouraged to address these concerns.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
  continue reading

420 episodes

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