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Probabilistic Graphical Models

topic on 2 shows · 3 statements across 3 episodes

No Priors the MAD Podcast

3 statements about Probabilistic Graphical Models, every show

NO PRIORS Insight
Koller: AI requires synthesizing deep learning with causal and interpretable modeling
“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”
Daphne Koller Jan 11, 2024 ▶ 12:38 No Priors Ep. 46 | Best of 2023 with Sarah Guo and Elad Gil
NO PRIORS Insight
Koller: AI requires synthesizing deep learning with causal and interpretable models
“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”
Daphne Koller May 19, 2023 ▶ 2:28 No Priors Ep. 6 | With Daphne Koller from Insitro
MAD Insight
Generative world models enable AI to answer unexpected, untrained questions
“Building models allow you. You are able to answer questions that you did not think about during training the system.”
Dileep George Dec 11, 2018 ▶ 16:18 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)

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