The #1 Deepseek Mistake, Plus 7 More Lessons > 자유게시판

DeepSeek R1 is excellent at solving complicated queries which require a number of steps of "thinking." It can resolve math problems, answer logic puzzles, and likewise reply general queries from its database - at all times returning highly accurate answers. In keeping with DeepSeek, R1 surpasses o1 in AIME, MATH-500, and SWE-bench Verified tests (the primary compares the model with others to evaluate effectiveness, the second is a set of textual content problems, and the third focuses on programming tasks). And if you are starving for even more discussion of DeepSeek, I can promise you that we’ll have more to say on our regularly scheduled episode of "Hard Fork" this Friday. Here’s what to learn about DeepSeek, its technology and its implications. Here’s what to know. DeepSeek选择是非常明智的选择，主打就是一个差异化，你CloseAI搞封闭，我就搞开放，这样的差异性可以弥补其他方面的不足。想象一下，如果DeepSeek也选择闭源，那即便使用更小成本做出了一个性能还不错的模型，也只会别认为是CloseAI之类闭源大厂的跟随者，并不会被认为是一个强劲对手。

这不，最近国务院总理李强都邀请其创始人去参加经济会议了。突然的爆火，主要是实在太香了，根本就低调不下来了。这个公司很奇怪，没有短期盈利的目标，所以做手机，电脑app都很不上心，一直是个对话框凑活。 DeepSeek 那么厉害为什么要开源，让国外得利？ 3模型为啥要开源？从一开始就非常厉害，压着国内其它模型们打。 R1 is aggressive with o1, although there do seem to be some holes in its functionality that point towards some amount of distillation from o1-Pro. OpenAI says it sees "indications" that DeepSeek "extricated giant volumes of data from OpenAI's tools to assist develop its expertise, using a course of called distillation" -- in violation of OpenAI's terms of service. Customer support: R1 may very well be used to power a customer support chatbot, the place it can engage in dialog with users and reply their questions in lieu of a human agent.

Unlike conventional AI fashions that rely heavily on Supervised Fine-Tuning (SFT), DeepSeek makes use of Reinforcement Learning (RL) to develop self-bettering capabilities without extensive human intervention. And I think the - just to attach the dots a bit of bit, I think what Satya is making an attempt to say right here is that DeepSeek is not truly a risk to corporations like Microsoft, because as the cost of constructing and utilizing AI fashions comes means down, people are just going to want to make use of them an increasing number of. Training an AI mannequin like GPT-4 prices over $100 million. DeepSeek precipitated waves all over the world on Monday as one in all its accomplishments - that it had created a really powerful A.I. They did not analyze the mobile model, which stays one of the vital downloaded items of software on each the Apple and the Google app stores. Within days, DeepSeek grew to become the highest app in each the U.S. U.S. tech giants are constructing information centers with specialized A.I.

Yeah, many people are talking about Jevons paradox. Well, I did, as a result of we had simply mentioned Jevons paradox on this very show, Kevin. All right. Well, Kevin, I think that’s a fairly good overview of what DeepSeek is doing, why people are freaking out, and at least some thoughts about exactly how freaked out you need to be. As a result of considerations about giant language fashions being used to generate deceptive, biased, or abusive language at scale, we are solely releasing a much smaller model of GPT-2 together with sampling code(opens in a brand new window). Especially not, if you are excited about creating giant apps in React. There is a lot more to say about this topic. There may be already precedent for high-level U.S.-China coordination to sort out shared AI safety concerns: final month, Biden and Xi agreed people ought to make all choices regarding the use of nuclear weapons. And in that case, what did you make of it?

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