[上进联考]七彩联盟2023-2024学年第二学期高二年级期中联考试卷答案答案(英语)

[上进联考]七彩联盟2023-2024学年第二学期高二年级期中联考试卷答案答案(英语)正在持续更新，目前2024届全国大联考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。

31.What is the best title for the text?A.Overlooked Wild Crops Require PreservingB.Global Warming Influences Crops'Adaptation出指中面C.A Severe Drought Is Threatening Food SecurityD.Scientists Are Looking for Climate-adapted Cropss bolisl0Researchers are training robots to perform an ever-growing number of tasks through trial-and-errorreinforcement(learning,which is often laborious and time-consuming.To help out,humans are now employing large language model(LLM)AIA team at NVIDIA Research directed an AI protocol()powered by OpenAI's GPT-4to teach a simulation()of a robotic hand nearly 30 complex tasks,including throwing aball,pushing blocks,pressing switches,and some other seriously impressive abilities.NVIDIA's new "AI agent"Eureka uses GPT-4 by asking the large language model towrite its own reward-based reinforcement learning software code.According to the company,Eureka doesn't need complicated reminders or even pre-written patterns;instead,it simplybegins experimenting with a program,and then follows any external human feedback.In the company's announcement,Linxi"Jim"Fan,a senior research scientist at NVIDIA,described Eureka as a unique combination of LLMs and simulation programming."We believethat Eureka will enable robots to control items flexibly and provide a new way to producephysically realistic animations for artists,"Fan added.After testing its training protocol within an advanced simulation program,Eureka thenanalyzes its collected data and directs the LLM to further improve upon its design.The resultis a protocol capable of successfully numbering a variety of robotic hand designs to operatescissors,turn pens and open cupboards within a physics-accurate simulated environment.Eureka's alternatives to human-written trial-and-error learning programs aren't just effective inmost cases,they're actually better than those authored by humans.In the team's open-sourceresearch paper findings,Eureka-designed reward programs outperformed humans'code in over80 percent of the tasks-amounting to an average performance improvement of over 50 percentin the robotic simulations."Reinforcement learning has contributed to impressive wins over the last decade,yet manychallenges still exist,such as reward design,which remains a trial-and-error process,saidAnima Anandkumar,an AI researcher."Eureka is the first step toward developing newalgorithms()that integrate generative and reinforcement learning methods to solve hard tasks."32.Why is AI used for the training?中④A.To simplify robots'tasks.B.To advertise OpenAI's GPT-4.C.To speed up the training process.D.To recognize artists'role in art creation.33.What does Eureka need to do in the training?A.Design reward programs.C.Get complicated reminders.B.Copy pre-written patterns.34.How does Anima Anandkumar find Eureka?D.Avoid human intervention.A.It is still poor at the reward design.o90C.It has few challenges to solve.B.It should learn from hard tasks.99191w35.What is the main idea of the text?D.It is of pioneering significance.A.Trial-and-error learning programs are promising.B.Robots can finish complex tasks through learning.C.Reinforcement learning improves robotic simulations.gu9i9091 79i8 bn9v0091D.AI can better teach a simulated robotic hand to perform tasks.asw blido sdi ae【高三年级猜题二·英语第5页（共8页）】243565D