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There’s an interesting parallel between choosing the right loss function when training AI models and designing the right incentive system for business executives. Be careful what you wish for, basically.
Former Quant Investor, now building @lumera (formerly called Pastel Network) | My Open Source Projects: https://t.co/9qbOCDlaqM
There’s an interesting parallel between choosing the right loss function when training AI models and designing the right incentive system for business executives. Be careful what you wish for, basically.
Former Quant Investor, now building @lumera (formerly called Pastel Network) | My Open Source Projects: https://t.co/9qbOCDlaqM
There’s an interesting parallel between choosing the right loss function when training AI models and designing the right incentive system for business executives. Be careful what you wish for, basically.
Along those lines, here are some cool examples of “fancy” loss functions that include many more things than simply “how far was the output from the training data?”:
RT @Object_Zero_: The price of everything on Earth. This chart is all of the natural occurring elements, their occurrence rate in Earth's…
Root node of the web of threads: https://t.co/ifH80GcLpo
RT @michelletandler: "No cause, ever, in the history of all mankind, has produced more cold-blooded tyrants, more slaughtered innocents, an…
AI Optimist. Empiricist, not 'rationalist'. Anti world government.
RT @tbpn: .@growing_daniel on Marc Andreessen's response to the pope's tweet: "If you're going to dedicate your life to building something…
founder https://t.co/jZh799yfRw and such