“Today, Google could help you with this, but it would take a lot of thoughtful research — you’d have to look up the elevation of each mountain, the average temperature in the fall, the difficulty of the trails, the right gear to use, and more. After a certain amount of research, you’d eventually be able to get the answer you need.” But as Nayak pointed out, if you were to ask a hiking expert, you might get the answer you’re looking for by asking just one question.
Not only that, but you’d get “a thoughtful response that sri lanka number data takes into account the nuances of your task at hand and walks you through the many things to consider.” That’s the kind of response Google wants to provide for complex queries so users can get the information they need from a single query. Nayak admits that search engines still struggle to choose key information and provide relevant results for all the criteria included in more complex queries.
Google hopes MUM will help the search giant understand these queries, target key points, and find content that answers every aspect of the question. MUM and AI algorithms : Between ethics and paradoxes… is the ethical implications of running AI models, generally citing three points that Google is working on specifically: Limit potential biases in the training data to minimize the risk of biases in the data provided. Nayak says Google uses only high-quality data to filter out most biases, but he also acknowledges that high-quality data may contain biases, and adds that Google takes steps to remove them.