AI & ChatGPTAI 与 ChatGPT
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#1
Artificial intelligence has ceased to be a futuristic abstraction and has become an integral component of daily life.
人工智能已不再是一个未来的抽象概念，而成为了日常生活中不可或缺的组成部分。
#2
From personalized recommendations on streaming platforms to sophisticated medical diagnostics, AI permeates countless industries.
从流媒体平台上的个性化推荐到尖端的医疗诊断，人工智能已渗透进无数行业。
#3
The emergence of tools like ChatGPT has particularly accelerated public awareness of what these systems can accomplish.
ChatGPT 等工具的出现，特别加速了公众对于这些系统所能达成之成就的认知。
#4
Seldom before has a single technology generated such widespread fascination and apprehension simultaneously.
以前很少有一项技术能同时引起如此广泛的着迷与担忧。
#5
Central to the success of tools like ChatGPT is the concept of the prompt, the carefully crafted input a user provides.
ChatGPT 等工具成功的关键在于“提示词”的概念，即用户所提供的精心设计的输入内容。
#6
A well-formulated prompt can yield remarkably nuanced and contextually appropriate responses from the system.
一个构思周全的提示词能让系统产生极其细腻且符合语境的回答。
#7
Conversely, vague or poorly structured prompts tend to produce superficial and occasionally misleading outputs.
相反，含糊不清或结构不佳的提示词往往会产生肤浅且偶尔具有误导性的输出结果。
#8
the quality of human-AI interaction depends heavily on the user's competence.
人类与人工智能互动的质量在很大程度上取决于用户的能力。
#9
The ethics surrounding artificial intelligence constitute one of the most pressing debates of our era.
围绕人工智能的伦理问题构成了我们时代最紧迫的辩论之一。
#10
Critics argue that automation driven by AI could displace millions of workers across manufacturing, logistics, and administrative sectors.
评论家主张，由人工智能驱动的自动化可能会导致制造、物流和行政部门的数百万名劳工失业。
#11
Were governments to neglect proactive policy-making, the socioeconomic consequences could prove devastating for vulnerable communities.
倘若各国政府忽视积极的政策制定，其社会经济后果对弱势群体而言可能是毁灭性的。
#12
Furthermore, algorithmic bias remains a persistent concern, as AI systems may inadvertently perpetuate the prejudices embedded in their training data.
此外，算法偏见仍然是一个持续存在的隐忧，因为人工智能系统可能会在无意中使训练数据中根深蒂固的偏见永久化。
#13
Despite legitimate concerns, proponents of AI emphasize its transformative potential in education, healthcare, and scientific research.
尽管存在合理的疑虑，人工智能的支持者仍强调其在教育、医疗保健和科学研究方面的变革潜力。
#14
Not only can AI accelerate drug discovery, but it can also democratize access to high-quality tutoring worldwide.
人工智能不仅能加速药物研发，还能使全球范围内的高质量家教服务普及化。
#15
In the workplace, rather than eliminating jobs entirely, automation is more likely to redefine existing roles.
在职场中，自动化更有可能重新定义现有的职位，而非完全消除工作。
#16
Professionals who cultivate adaptability and digital literacy will be better positioned to thrive in this evolving landscape.
培养适应能力与数字素养的专业人士，将更有利于在这个不断演变的局势中蓬勃发展。
#17
Ultimately, the trajectory of artificial intelligence will be shaped by the collective decisions societies make today.
最终，人工智能的发展轨迹将由社会今日所做出的集体决定所塑造。
#18
It is imperative that regulatory frameworks keep pace with technological advancement to safeguard both innovation and public welfare.
监管框架必须跟上技术进步的步伐，以维护创新和公众福祉。
#19
Should we approach AI with informed pragmatism rather than blind enthusiasm or fear, we stand to benefit enormously.
若我们能以理性的务实态度，而非盲目的热情或恐惧来对待人工智能，我们将获益匪浅。
#20
The question is not whether AI will transform our world, but whether we will guide that transformation wisely.
问题不在于人工智能是否会改变我们的世界，而是在于我们是否会明智地引导这场变革。