How difficult will it be to train and build an AI Agent that has expertise in a given domain? Will it happen in the next year, or 3 years or 10 years? And who will benefit in the marketplace from his evolution? 

SHOW: 984

SHOW TRANSCRIPT: The Cloudcast #984 Transcript

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SHOW NOTES

• OpenAI looks to train their models to replace junior bankers

WHAT WOULD BE THE STAGES OF AN EXPERT AGENT?

• Train it on a set of standard knowledge (e.g. Masters of Accounting, Auditing, International Tax)
• Train it on a set of well-defined case studies, to provide industry context
• Train it on a set of adjacent case studies and other domains (business, law, specific industries)
• How to train corner cases?
• How to train gray areas like ethics, morality, or cost-benefit analysis? 
• Who is motivated to train these experts? 
• What would the cost of these experts be? Can it be similar to a human, or need to be a fraction, or a premium? 
• Is there a way to build memory (e.g. experience) without disclosing client information? 
• Is there a way to build shareable knowledge between agents for reinforcement training/learning?

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