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Microsoft's "virtual man" project may inspire a large number of high-value generative AI scenarios, breaking the dilemma of "good reviews but not popular" Original ully AI Engineering
November 13, 2024 10:10 Beijing 7 people For a user system, there is usually a very effective user growth method, which is to do user AB experiments. We put different strategies on different users to observe their feedback to optimize the strategy.
Going further, we even hope to observe the reactions of different groups of people before the strategy goes online, and whether it can meet the expectations of our strategy. In the past, when big models had not yet appeared, we had such a challenging and interesting
idea, can we construct a large number of such intelligent users and let them help us iterate and verify the recommendation model. They have different personalities and hobbies, and they can give feedback (likes/dislikes, etc.) on the results we recommend to them. In this way, the training efficiency of the entire recommendation and the safety of the new model online will be greatly improved
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