AI大模型:一个高材生的修炼之路AI Is A Smart Journey【中英文】
作者：微信文章AI大模型的定义和定位五花八门，有人说它是企业降本增效的利器，有人把它当作全能的创意工具，还有人视它为商业变革的颠覆者。
听起来很美好，现实呢？大多数AI大模型还停留在聪明的陌生人阶段。
强大，但不接地气，什么都懂，却又好像什么都不贴心。
我给AI大模型的定位是：
一个从全球顶级高校全科A+满分毕业的博士生，什么都懂，什么都会，但偏偏不懂你，不懂你的业务，更不懂你想要什么。
想想看一个全能的理论派博士生闯进你的办公室告诉你他啥都会，滔滔不绝了半天，你信了，交给他一个任务，他啥了，开始胡说八道了，答非所问了。
你一看，这高材生也就这样儿，没啥大不了的。
这就是当下很多人使用AI大模型的困境，看起来功能强大但用起来却隔靴搔痒。
想让AI真正为你所用就得带它像带实习生一样，你得有耐心下功夫，要做好手把手教的准备。
反复沟通建立语境认知。
AI的强大在于它的学习能力，但前提是你得教会它你的语境。
举个例子，你让AI帮你写一篇行业报告，结果它甩给你一堆标准答案，看似面面俱到却偏离你想要的方向。
这时候别急着抱怨AI不懂我，而是要像带实习生一样，跟它唠：
这个方向不对，我们需要更贴近市场的分析。
这部分细节太笼统了，多举几个实际案例。
语言别这么官方，多些情绪价值。
这样一次次的交流和反馈AI会逐渐明白你的偏好和需求，就像一个实习生渐渐摸清老板的脾气一样。
耐心指导打磨业务理解。
AI虽然懂得全球顶级理论，但它对具体业务的理解往往是空白的。
你必须不断为它输入行业背景具体场景，甚至是一些潜规则。
就像教实习生如何应对客户一样，你要细心引导让它懂得你的行业有多复杂多独特。
比如你做零售行业的财务分析，让AI生成一份销售预测，它可能直接给你套用一个标准模型，但这远远不够。你得告诉它：
我们行业的淡旺季波动很大，这点必须考虑。
市场竞争对手的数据也要拿进来对比，不能只看历史趋势。
利润不是唯一的考量，客户满意度也很重要。
这些看似琐碎的信息其实是AI完成从理论派到实用派转变的关键。
允许试错逐步建立信任。
就像实习生会出错一样AI也会犯低级错误。
但这并不可怕，重要的是你如何对待这些错误，每一次纠正都是一次学习的机会。
当它犯错时你要告诉它：这部分不对，原因是XX，下次这样改。
当它进步时你也要鼓励它：这次做得很好继续保持！
这种正向反馈和纠错机制会让AI越来越懂你。
最终它会从一个高材生职场小白成长为你的得力助手，甚至成为你不可或缺的合作伙伴。
所有人都说AI有无限潜力，但其实只有当它足够了解你理解你的业务时才真正能发挥作用。
AI的价值不在于它的技术有多先进，而在于它有多贴近你的需求。
当AI开始明白你的工作习惯熟悉你的行业逻辑揣摩你的思维模式，它就不再是一个冷冰冰的技术工具，而是一个真正意义上的助手。
它可以在你需要灵感时提供创意，在你疲惫时替你完成繁琐的工作，在你纠结时帮你理清思路。
AI大模型不仅要懂技术还要懂情绪。
它不只是一个任务执行器，还应该是一个倾听者支持者，就像一个真正优秀的实习生，不仅能按时完成任务，还能让你感受到被理解。
有时候你需要的不仅是一份数据报告，而是一个能听你倾诉的人。
我最近太累了，压力大。
AI大模型听到了，虽然不能替你解决所有问题，但它可以帮你分担工作压力，或者简单地陪你聊聊，这种情绪价值才是AI接地气的关键所在。
AI大模型不是天生完美的助手，它需要被打磨被塑造。
这个过程就像带一个高材生实习生一样，需要沟通引导和信任。
当AI开始懂你、理解你的业务、融入你的思维，它就不再是一个遥远的技术工具，而是你真正的AI，是你的伙伴、助手，甚至是你的影子。
所以别再把AI看作神秘莫测的未来科技，它只是一个需要你耐心带教的超级实习生。
而当你把它带成一个贴心助手时你会发现，这不仅是技术的进步，更是人与技术之间关系的重塑，是人类驾驭AI的起始点。
AI Big Models: A Smart Student's Journey
People define AI big models in many ways.Some say they're tools to save money and work better. Others call them creativegeniuses or game-changers for business.
It sounds great, but what's the reality?Most AI big models are still like smart strangers.
They're powerful but not practical. Theyknow a lot, but they don't really get you.
Here's how I see AI big models:
They'relike a PhD student who got straight A+ grades in everything at the best schoolin the world.
They know everything, can do anything, but they don't understandyou, your business, or what you really want.
Imagine this super-smart student walks intoyour office, says they can do anything, talks a lot, and you believe them. Yougive them a task, and they start talking nonsense, giving answers that don'tmake sense.
You think, “This smart student isn't sogreat after all.”
This is the problem many people have withAI big models. They seem powerful but don't really help when you usethem.
To make AI work for you, you need to treatit like training an intern. You need patience and effort, and you have to teachit step by step.
First, talk to it a lot to help itunderstand your world. AI is powerful because it can learn, but you have toteach it your language.
For example, you ask AI to write anindustry report, and it gives you a bunch of standard answers that don't matchwhat you need.
Don't just complain that AI doesn't getyou. Talk to it like you would with an intern:
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“This isn't the right direction. We needanalysis closer to the market.”
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“This part is too vague. Add more realexamples.”
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“The language is too formal. Make it moreemotional.”
With each conversation and feedback, AIwill slowly learn your preferences and needs, just like an intern learningtheir boss's style.
Next, guide it patiently to understand yourbusiness. AI knows all the top theories, but it doesn't understand yourspecific business.
You need to feed it industry background,specific situations, and even unwritten rules.
It's like teaching an intern how to dealwith clients. You need to carefully explain how complex and unique yourindustry is.
For example, if you're in retail and ask AIto make a sales forecast, it might use a standard model. But that's not enough.You need to tell it:
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“Our industry has big ups and downs duringthe year. You have to include that.”
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“Compare our data with competitors, notjust our past trends.”
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“Profit isn't the only thing. Customersatisfaction matters too.”
These small details are key to turning AIfrom a theory expert into a practical helper.
Finally, let it make mistakes and buildtrust. Like an intern, AI will make silly mistakes.
But that's okay. What matters is how youhandle those mistakes. Every correction is a chance to learn.
When it's wrong, tell it: “This part iswrong because of XX. Fix it like this next time.”
When it improves, encourage it: “This isgreat! Keep it up!”
This positive feedback and correctionsystem will help AI understand you better.
Over time, it will grow from a smart butclueless student into a helpful assistant, maybe even a partner you can't workwithout.
Everyone says AI has unlimited potential,but it only works when it truly understands you and your business.
The value of AI isn't just about howadvanced its tech is. It's about how well it fits your needs.
When AI starts to understand your workhabits, your industry logic, and even your thinking, it stops being a cold techtool. It becomes a real assistant.
It can give you ideas when you're stuck, doboring tasks when you're tired, and help you think clearly when you'reconfused.
AI big models need to understand not justtech but also emotions.
They're not just task-doers. They should belisteners and supporters, like a great intern who not only finishes tasks butalso makes you feel understood.
Sometimes, you don't just need a datareport. You need someone to listen.
“I'm so tired and stressedlately.”
AI big models can't solve all yourproblems, but they can share your workload or just chat with you. Thisemotional connection is what makes AI feel real and helpful.
AI big models aren't born perfectassistants. They need to be shaped and trained.
This process is like guiding a smartintern. It takes communication, guidance, and trust.
When AI starts to understand you, yourbusiness, and your thinking, it's no longer a distant tech tool. It becomesyour real AI—your partner, assistant, even your shadow.
So stop seeing AI as some mysterious futuretech. It's just a super intern that needs your patience andteaching.
And when you turn it into a helpfulassistant, you'll see it's not just about tech progress.
It's about reshapingthe relationship between humans and tech. It's the starting point of humansmastering AI.
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