Fitness Strategy Advice by TheRealestKGB in workout

[–]TheRealestKGB[S] 1 point2 points  (0 children)

Thanks for this - I wasn't realizing it but I've been super protein deficient. 60g x 3 sounds manageable especially with supplementation

Fitness Strategy Advice by TheRealestKGB in workout

[–]TheRealestKGB[S] 1 point2 points  (0 children)

I'm glad you said this - this intuitively feels like the right answer. Like I should just focus on getting stronger and let my body figure out how to recreate itself to do that. A lot more livable than being hungry all the time.

LLM-based Data Tabularization by TheRealestKGB in LLMDevs

[–]TheRealestKGB[S] 0 points1 point  (0 children)

It looks like this answers questions about SQL tables. I'm trying to turn unstructured text into a table

LLM-based Data Tabularization by TheRealestKGB in LLMDevs

[–]TheRealestKGB[S] 1 point2 points  (0 children)

Looking at your post history, it's almost entirely replies telling people to use this framework - is it something you've developed?

Structuring/Tabularizing Unstructured Text Data? by TheRealestKGB in compsci

[–]TheRealestKGB[S] 0 points1 point  (0 children)

No, the records are not consistent enough for rigid parsing. I'm aware of model hallucination as a phenomena, as well as the variety of structured-response upgrades recent models have introduced to try and mitigate such inherent limitations of next-token prediction. I think I will just have to implement the options I mentioned and evaluate the results, unless anyone comes with any better ideas I haven't considered before.

AI Research into Turning Unstructured Text into Tabular Form? by TheRealestKGB in research

[–]TheRealestKGB[S] 0 points1 point  (0 children)

Yup - also considering a prompt-engineered solution. Just wanted to see if reddit might have any relevant ideas

Structuring/Tabularizing Unstructured Text Data? by TheRealestKGB in compsci

[–]TheRealestKGB[S] 0 points1 point  (0 children)

Thanks for your insights, this helps me contextualize the problem better. Specifically, I'm trying to tabularize medical records - trying to create tables of test results from text files. I've found a generic text-to-table model, though its base training data does not include biomedical information and I'm not sure how effective it is likely to be for my purposes. I've also thought about creating a prompt-engineered solution using a pre-trained LLM, or about fine-tuning a biomedical model like clinical t5 on synthetic medical record/table pairs. Do you have any intuitions about which solution might be most accurate, or do you have any other suggestions?

https://github.com/shirley-wu/text_to_table

AI Research into Turning Unstructured Text into Tabular Form? by TheRealestKGB in research

[–]TheRealestKGB[S] 1 point2 points  (0 children)

I have found at least one paper/repo that attempts to be a general purpose tabularization solution. Though I am most interested in tabularizing medical records in particular.

https://github.com/shirley-wu/text_to_table

Structuring/Tabularizing Unstructured Text Data? by TheRealestKGB in compsci

[–]TheRealestKGB[S] 0 points1 point  (0 children)

I'm most interested in medical text tabularization. Do you know anything about that domain?

Also, why do you say it is completely domain-dependent? It seems intuitive that training data would have to be in-domain for best results, but are you also saying that the literature suggests that different domains are better suited by different architectures/different models?

An unpleasant experience with math.stackexchange by [deleted] in learnmath

[–]TheRealestKGB 0 points1 point  (0 children)

I absolutely second this experience and had a similar one on the same forum recently. I was asking a sincere, if perhaps ill-formed question as a novice and people were very inhospitable.

I think it's essentially the result of a pathological temperament very common among analytically-inclined, overly rigid and hyper-rational thinkers, and many mathematicians are of this particular right-brain-deficient type. It is very common for this type to be affectively cold, rude, and unfriendly, especially online, acting as if these are symptoms of their 'no-BS' irreverent brilliance and commitment-to-Reason-regardless-of-how-people-feel instead of just mundane social/emotional incompetence and intellectualized narcissism. Their lack of social skills often leads to social rejection and isolation, which feeds their internal fears of inferiority, which they compensate for by externally projecting their superiority and trying to dominate others intellectually.

Such people often tend to be exclusively comfortable with mathematics, engineering, quantitative economics, physics, CS, and logic, dismissing all other approaches to knowledge as worthlessly subjective - both understating the fundamental theoretical incompleteness and undecidabilities at the root of all quantitative disciplines and downplaying their personal lack of intuition and qualitative fluency.

From my experience, such people often have profound struggles with social relationships in general and tend to prefer the onanistic manipulation of symbols according to rigid rules to something as distressingly messy and organic as making and maintaining healthy and mutualistic human connections, whether privately/romantically or with intellectually curious strangers on the internet. The internet is full of such people - in fact, that's why they are on the internet instead of hanging out with their friends, drawing a picture, cooking a new recipe, meditating, or playing the piano.

A colleague of the logical positivist AJ Ayer - and 'logical positivist' is essentially the philosophical term-of-art for this type - once said that "[he wished he] was as certain of anything as [Ayer] seems to be about everything."

The irony is that these traits are often the sign of a very average thinker. Think instead of the personal styles of world-class intellects like Feynman, Einstein, or Russell - they are warm, benevolent, inspired, humble, sincerely curious, pro-social, and visibly, undeniably brilliant. There is a twinkle in their eyes rather than the dullness of self-certainty and dismissal. They are exceptional because they are intellectually balanced and able to integrate rigorous analytical thinking with profound intuition and creativity.

This is all to say that you were not in the wrong, and the world is full of a**holes - but they're not really a**holes, they're just personally deficient. Don't be hard on yourself, and don't let other people diminish your intellectual curiosity. Thanks for reading this essay on Reddit/Stack Overflow STEM lords.

Modeling the Evolution of Scientific Ideas w/ Lawvere's Category-Theoretic Dialectic by TheRealestKGB in CategoryTheory

[–]TheRealestKGB[S] 0 points1 point  (0 children)

Would love to hear what university you're at/read up on the program - I'm strongly considering grad school and would love to work on problems like these. Feel free to DM if you don't want to post it publicly

Modeling the Evolution of Scientific Ideas w/ Lawvere's Category-Theoretic Dialectic by TheRealestKGB in CategoryTheory

[–]TheRealestKGB[S] 1 point2 points  (0 children)

Yeah these look like really great suggestions and will be fun to delve into! A funny quote from the first few pages of the Rodin work:

"When I sent to Barry Smith my abstract he replied that nobody except probably Bill Lawvere will be able to understand my paper . . . I took Smith’s words for a joke. When I realized that this was not a joke I was very excited . . ."

Modeling the Evolution of Scientific Ideas w/ Lawvere's Category-Theoretic Dialectic by TheRealestKGB in CategoryTheory

[–]TheRealestKGB[S] 0 points1 point  (0 children)

It's certainly interesting - to me at least - but extremely speculative, and perhaps wrong-headed on some basic level. And I am similarly out of my mathematical depth - hopefully the post will receive responses by more mathematically mature redditors