EmmyNoetherRing t1_j0yo8zu wrote on December 20, 2022 at 11:46 AM

Reply to [R] Foresight: Deep Generative Modelling of Patient Timelines using Electronic Health Records by w_is_h

Have you disaggregated your evaluation results? Ie, How does your accuracy differ by demographic segment or illness category?

EmmyNoetherRing t1_izuw8gr wrote on December 12, 2022 at 12:49 AM

Reply to comment by ---AI--- in [D] - Has Open AI said what ChatGPT's architecture is? What technique is it using to "remember" previous prompts? by 029187

I think it can make a summary of any text; I’m not sure that’s proof that it’s explicitly using written summaries to track the conversation.

And humans also typically can’t recite the first message in a conversation from memory. That doesn’t mean they have no memory at all, or that their memory takes the form of continually reciting and updating a written summary of the conversation.

I’d be curious to hear OpenAI’s response to OP’s question.

EmmyNoetherRing t1_izuw10g wrote on December 12, 2022 at 12:47 AM

Reply to [D] - Has Open AI said what ChatGPT's architecture is? What technique is it using to "remember" previous prompts? by 029187

See questions like this are why I’d like to hear a keynote about it. I really hope they’re doing something for AAAI.

EmmyNoetherRing t1_iz5d2l4 wrote on December 6, 2022 at 4:35 PM

Reply to comment by anon2282 in How racial bias can affect 911 calls and what dispatchers in Montreal are learning to stop it | CBC News by ChrisOntario

So… your thesis is that race doesn’t exist but racism does?

EmmyNoetherRing t1_ist2jei wrote on October 18, 2022 at 2:32 PM

Reply to comment by ChrisRackauckas in [P] Stochastic Differentiable Programming: Unbiased Automatic Differentiation for Discrete Stochastic Programs (such as particle filters, agent-based models, and more!) by ChrisRackauckas

Thanks! Sounds very related, but from a different angle than the one I've worked with before (which is closer to multi-agent systems, by the wikipedia article's nomenclature). Still discrete underneath though, if I'm reading it correctly? Or I guess looking at real valued parameters for the agents programs/states/locations?

EmmyNoetherRing t1_isswkjx wrote on October 18, 2022 at 1:49 PM

Reply to [P] Stochastic Differentiable Programming: Unbiased Automatic Differentiation for Discrete Stochastic Programs (such as particle filters, agent-based models, and more!) by ChrisRackauckas

This seems really neat! Just to make sure I understand correctly, do you have a link to an example of what you’re thinking about when you say “agent based model”? I tend to associate that with classical AI where there’s often a discrete and generally finite set of states and transitions, and the agent model is a policy on which transitions to use in which states.