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
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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