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hxypqr

HN member
Joined
Wed, Nov 08, 2023, 4:58 PM UTC
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1
Public activity
21 items

About hxypqr

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Recent public activity

  1. comment
    Comment #40221553

    Predicting the next character alone cannot achieve this kind of compression, because the probability distribution obtained from the training results is related to the corpus, and m…

  2. comment
    Comment #40221531

    The reasoning ability of Opus also has a clear ceiling

  3. comment
    Comment #39065275

    Key insight is the finiteness of reasoning parts in planar geometry that can be quickly solved by the SAT, which often does not exist in most first-order and second-order logics, s…

  4. comment
    Comment #39065264

    The problem is that using LLM as a role for drawing auxiliary lines is too inefficient. It is hard to imagine people deploying a large number of machines to solve a simple IMO prob…

  5. comment
    Comment #39065222

    The problem is that LLM as a role for drawing auxiliary lines is too inefficient. It is hard to imagine people deploying a large number of machines to solve a simple IMO problem. T…

  6. comment
    Comment #38992147

    Most of Dynamic programming is just a method of reducing computational complexity by changing the noun objects in first-order logic (or second-order logic, advanced version) to wal…

  7. comment
    Comment #38991861

    mixtral 7*8B does indeed have this characteristic. It tends to disregard the requirement for structured output and often outputs unnecessary things in a very casual manner. However…

  8. comment
    Comment #38991811

    Temperature and light may create illusions in LLM. A potential available solution to this is to establish a knowledge graph based on sensor signals, where LLM is used to understand…

  9. comment
    Comment #38991777

    This is a very insightful viewpoint. In this situation, I believe it is necessary to use NER to connect the LLM module and the ML module.

  10. comment
    Comment #38988199

    No matter what n is, the answer to this problem on an n*n chessboard is basically cn^2. Due to the finitness of this problem, the optimal solution will repeat in a certain pattern …

  11. comment
    Comment #38980345

    The number .001% should be changed to .1% or 1%.

  12. comment
    Comment #38980311

    Too optimistic, how did dinosaurs become extinct, and why won't similar things happen to humans? Even if AI is a problem inherent to humans, the core issue and the collision of ast…

  13. comment
    Comment #38980261

    Obviously, the cost of using LLM to solve this problem is relatively high. At most, it can only treat LLM as one of the signals instead of processing all the information. Combining…

  14. comment
    Comment #38980138

    The most important thing for a guitar teacher to do is to convince potential students to choose you as their teacher, and the most cost-effective way to achieve this goal is throug…

  15. comment
    Comment #38980112

    OPENAI is trying to release these views to confuse its opponents, I can clearly feel that the day when mathematics as a profession is disrupted is not far away from us, 5-10 years

  16. comment
    Comment #38843869

    This is not guesswork, if one evening you lie in the garden feeling bad because of a breakup or other reasons and watch the shadow of the lights, you can get similar results. Intro…

  17. comment
    Comment #38765022

    This is just fake news. In reality, there is no difference between what they actually do and training a three-layer CNN with one layer of FCN to predict what number should be fille…

  18. story
    Method for generating structured images without using diffusion models?

    The computational complexity of the diffusion model is very high, which means it may not be applicable in many practical scenarios. If our target image is two-dimensional but essen…

  19. comment
    Comment #38719112

    I haven't looked at the code, but I wanted to ask in advance if it is possible to incorporate lean4's formal mathematical capabilities into the current architecture to obtain more …

  20. story
    Can LLM be trained like training Go AI? Such as alphago

    The ability of GPT-4 is not so much "figuring out" as it is "already knowing." Currently it seems.

  21. comment
    Comment #38193255

    Drones may be an example, they played a role in the Russia-Ukraine war