贵阳第一中学(贵州卷)2024届高考适应性月考卷(八)答案(英语)正在持续更新，目前2025届国考1号答案网为大家整理了相关试题及答案，供大家查缺补漏，高效提升成绩。

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1、2024贵阳一中高考适应性月考四
2、贵阳一中2024高考适应性月考二各科试卷及答案汇总数学
3、2024贵阳一中高三适应性月考(四)英语
4、2024贵阳一中高考适应性月考(二)
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28.What did the latest study find?A.Humans need to be grateful.B.Regular exercise alone brings long-term happiness.C.It calls for consistent commitment to keep happiness lasting.D.The latest scientific studies on happiness help create improved well-being.29.Why did Prof Hood mention the gym in Paragraph 3?A.To compare happiness with exercise.B.To stress the importance of physical activities.C.To explain why the finding is reasonable.D.To prove the effectiveness of their study.30.What may Prof Hood agree with?A.It's necessary to track the well-being of students.B.Happiness can be learnt,but you have to work at itC.Learning happiness is as important as doing exercise.D.As long as you take a happiness course,you will be happy.31.What does the research team centre on in their course?A.Making students focus on positive things.B.Evaluating positive psychology interventions.C.Drawing students'attention to themselves.D.Letting students commit to using what they learn.DWhen you teach a child how to solve puzzles,you can either let them figure it out throughtrial and error,or you can guide them with some basic rules and tips.Similarly,incorporating(rules and tips into AI training-such as the laws of physics-could make them moreefficient and more reflective of the real world.However,helping the AI assess the value ofdifferent rules can be a tricky task.Researchers report that they have developed a framework for assessing the relative valueof rules and data in "informed machine learning models"that incorporate both.They showedthat by doing so,they could help the Al incorporate basic laws of the real world and betternavigate scientific problems like solving complex mathematical problems and optimizingexperimental conditions in chemistry experiments."Embedding human knowledge into AI models has the potential to improve their efficiencyand ability to make inferences,but the question is how to balance the influence of data andknowledge,"says first author,Hao Xu of Peking University."Our framework can beemployed to evaluate different knowledge and rules to enhance the predictive capability of deeplearning models.”Generative AI models like ChatGPT and Sora are purely data-driven-the models aregiven training data,and they teach themselves via trial and error.However,with only data towork from,these systers have no way to learn physical laws,such as gravity or fluiddynamics,and they also struggle to perform in situations that differ from their training data.An alternative approach is informed machine learning,in which researchers provide the modelwith some underlying rules to help guide its training process."We are trying to teach AI models the laws of physics so that they can be more reflectiveof the real world,which would make them more useful in science and engineering.We want tcmake it a closed loop()by making the model into a real AI scientist,"says senior authoYuntian Chen of the Eastern Institute of Technology,Ningbo.32.How did the author introduce the topic of the text?A.By assessing basic rules.B.By comparison of similarity.C.By explaining laws of physics.D.By analysis of human learning.【高三英语第5页（共8页）】