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Estimate user preferences for any intervention attribute
3 principles to dynamically personalize user experiences
Nov 23
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Schaun Wheeler
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Estimate user preferences for any intervention attribute
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How is Aampe different from AI segmentation tools?
The future of AI segmentation and 1:1 personalization
Nov 14
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Arpit Choudhury
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How is Aampe different from AI segmentation tools?
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October 2024
Agents and constraints
Don't restrict your agents unless you absolutely have to.
Oct 24
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Schaun Wheeler
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Agents and constraints
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1
Simpson's Paradox
When the statistics of the parts and the whole don't tell the same story
Oct 24
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Simpson's Paradox
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Your CMS is a gold mine: time to dig
The future of content management and personalization powered by AI
Oct 23
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Schaun Wheeler
 andÂ
Arpit Choudhury
2
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Your CMS is a gold mine: time to dig
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42:40
Agents, impact confidence, and prior beliefs
Agents might use data, but they need prior beliefs too, just like humans do
Oct 17
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Schaun Wheeler
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Agents, impact confidence, and prior beliefs
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6:27
What is an AI Agent? Definitions, Inputs, and Outputs
AI Agents don't *have* to be LLM-based
Oct 9
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Arpit Choudhury
 andÂ
Schaun Wheeler
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What is an AI Agent? Definitions, Inputs, and Outputs
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Embedding space let agents communicate with each other
Team members need to be able to coordinate and swap notes. Even if the team is made up entirely of virtual agents.
Oct 8
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Schaun Wheeler
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Embedding space let agents communicate with each other
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5:22
Get comfortable with Decision Automation
Explore the complexities of automating business decisions for improved decision-making
Oct 7
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Arpit Choudhury
,Â
Paul Meinshausen
, andÂ
Schaun Wheeler
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Get comfortable with Decision Automation
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37:19
Transforming distributions to encode business priorities
Agents need to navigate both the explore/exploit and the user/business trade-offs.
Oct 4
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Schaun Wheeler
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Transforming distributions to encode business priorities
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5:04
Beta distribution draws and signal strength
A probability is not a point estimate
Oct 4
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Schaun Wheeler
1
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Beta distribution draws and signal strength
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5:37
How agents view behavioral signals
Use an adaptation of Interrupted Time Series analysis
Oct 4
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Schaun Wheeler
1
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How agents view behavioral signals
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4:24
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