Mean Squared Error (MSE): The Loss Function That Makes Big Mistakes Expensive
Loss Functions Deep Dive — Part 4 of 30Continue reading on Towards AI »
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Loss Functions Deep Dive — Part 4 of 30Continue reading on Towards AI »
The first 5 parts get increasingly intense and then part 6 is for fun, as a treat. But feel free to skip around. 1: "Lean? That sounds famil
OpenAI published more than 700 AI-generated manuscripts claiming solutions to open math problems. A math blog then collected over 100 responses from researchers, ranging from fascination with new ideas to existential fears and grief over a lost way of working.
Autoformalisation is increasingly used to verify mathematical texts, including those generated by AI, as in OpenAI's announced proof of blow-up of solutions to the Navier-Stokes equations.
OpenAI has published 372 AI-generated mathematical results on GitHub, including Lean formalizations for machine verification. Each result consumed about three hours of ChatGPT Pro compute on average.
Contribute to openai/math development by creating an account on GitHub.
On 13 September, leading luminaries and up-and-coming talents in mathematics and computer science congregated at the annual Heidelberg Laureate Forum in Germany for a week of discussion, networking, and—naturally—wurst.Having attended several of these events in the past, the mathematicians normally…
A team compares two versions of an AI service. Average accuracy rises from 82% to 86%. The new version looks better, so releasing it seems like the obvious decision. Then an engineer separates the failures by type.
Pascal’s Triangle, Explained From ScratchContinue reading on Towards AI »
Many people know that you shouldn’t do decimal calculations, such as those involving U.S. dollars and cents, with the floating-point numbers in most programming languages.
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