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Mixture of experts , MoE or ME for short, is an ensemble learning technique that implements the idea of training experts on subtasks of a predictive modeling problem.

In the neural network community, several researchers have examined the decomposition methodology. [...] Mixture–of–Experts (ME) methodology that decomposes the input space, such that

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We could be facing a world in which AI-model interfaces are the new gatekeepers of knowledge, and people are prompting chatbots instead of reading encyclopedias

Each wave of openness – universal franchise, free speech, the movement for an open web, open access content – helps to solve one set of problems and immediately focuses attention on others,

Specific AI system regulations, such as the European AI Act or the AI Bill of Rights in the United States (both of which have yet to be adopted), may include rules that govern the development and management of AI training datasets. Other laws are also applicable. The Digital Services Act, recently adopted in the European Union, requires platforms... See more

If we allow those who control the present to control the past then they control the future. That’s George Orwell. We need to know what came before. Because the web flips on and off, actually most of the best of the web is already off the web.

However they identify, when they show up at MozFest and as they stay connected through the year, they are a group of people rolling up their sleeves and working on something roughly akin to a common agenda. Which is really all a social movement is.