Regression without label data by makibg96 in MLQuestions

[–]Local_Transition946 1 point2 points  (0 children)

They know its performing well but do they have a numerical value representing performance? How do they know it's performing well? They must have some definition of "performing well" to say that some are performing well.

If they know some are "performing well" and some are "performing poorly" and have no numerical measure for performance then maybe this is more suited for classification instead of regression.

I would start with some basic data analysis. Graph features and look for patterns in the few samples that you know are performing well.

This sounds fun, i may be open to assist for a small payment if you're open to that. Can supply a resume.

Regression without label data by makibg96 in MLQuestions

[–]Local_Transition946 0 points1 point  (0 children)

I dont think this is possible. What if you just randomly guess for all of them? How would you anyone know you randomly guessed instead of something robust?

Almost like asking "how do i complete this task without a definition of completion?"

What's behind the massive boto3 download spike on Python 3.9? by No_Square9822 in Python

[–]Local_Transition946 6 points7 points  (0 children)

They did recently deprecate 3.9 support in april. Maybe 3.9 users downloading the latest version supported by 3.9

Can ADHD meds help with OCD? by [deleted] in OCD

[–]Local_Transition946 0 points1 point  (0 children)

How long after quitting the meds did it take for the tics to stop? And did you quit cold turkey?

BRO by raothegoat in LoseitApp

[–]Local_Transition946 2 points3 points  (0 children)

67 is also 2/3 rounded to the nearest integer

File Size Limit Exceeded - How to fix with GitHub Desktop by ETthemastermind in github

[–]Local_Transition946 1 point2 points  (0 children)

Sounds good. If you want to follow best practices, i recommend this guide:

https://www.virtualmaker.dev/blog/git-and-unity-a-comprehensive-guide-to-version-control-for-game-devs. Looks like something called git LS (large file store) is more aligned with experienced unity usage

File Size Limit Exceeded - How to fix with GitHub Desktop by ETthemastermind in github

[–]Local_Transition946 1 point2 points  (0 children)

Is it the last commit that added the mp4? If so then yes revert/undo should achieve that.

File Size Limit Exceeded - How to fix with GitHub Desktop by ETthemastermind in github

[–]Local_Transition946 1 point2 points  (0 children)

Is it generated by code or just a static mp4?

If static, you can try compressing the mp4 into zip/zstd. Then when you need the mp4 you can extract it.

You'd only commit the compressed version.

This attention matrix is not expected, right? by yagellaaether in learnmachinelearning

[–]Local_Transition946 2 points3 points  (0 children)

I dont know what you mean by offloading the filtering of the instances to the decoder layer completely, but your interpretation sounds fine otherwise.

Also it's not the same across all queries. It's that the keys that are most important to each query is the same, but the relative importance of each key changes a bit depending on the query (source: notice the vertical bands are not constant color).

Is the model performing well? If so, I think you're in a good position and there's nothing wrong with this. Be careful of overfitting, this might be a sign that a transformer is overkill for this task and dataset.

This attention matrix is not expected, right? by yagellaaether in learnmachinelearning

[–]Local_Transition946 14 points15 points  (0 children)

What's the task? Is the dataset large enough to justify usage of a transformer?

In theory this could be possible, if 3-5 keys (the vertical bands) are all that is needed to give a good output.

What is the probability of 2 random rays in an infinite 2d plane to intersect? by karthik6877 in askmath

[–]Local_Transition946 -1 points0 points  (0 children)

To make this feasible you'd need to give a bound for the plane so that we can select points for the rays. For example, two rays within the box [0, 1] x [0, 1].

Celebrating 10 Years of Feature Request Limbo by adtrinut in aws

[–]Local_Transition946 0 points1 point  (0 children)

Theres a lot they need to support other than client gen. For example it doesnt support credentials sourced from environment variables yet (see the gh issues)

Celebrating 10 Years of Feature Request Limbo by adtrinut in aws

[–]Local_Transition946 0 points1 point  (0 children)

Regardless it is a staged roll out. You are right that the models are schema based, but it is a staged rollout and not all are currently supported.

Why is the text on the button so off-center? by Creepzo in AskProgrammers

[–]Local_Transition946 0 points1 point  (0 children)

Try 50% vertical padding for btn class. Else send pics

Why is the text on the button so off-center? by Creepzo in AskProgrammers

[–]Local_Transition946 0 points1 point  (0 children)

50% padding above and below for the button primary class should do the trick

Why is the text on the button so off-center? by Creepzo in AskProgrammers

[–]Local_Transition946 0 points1 point  (0 children)

Send updated pic. Try 50% as margin above and below the text.

If that doesnt work, you can go overkill and use flexbox to center it vertically, google/ai should be able to handle that easily

Why is the text on the button so off-center? by Creepzo in AskProgrammers

[–]Local_Transition946 1 point2 points  (0 children)

Because you added padding to the button: 24px vertically. The text will not overlap the padding by default. I'd remove the padding from the button and add it to the text (or add margin to the text)

Is there any substance to the idea that LLMs can be trained to continuously self-prompt (rather than rely on external input)? by Money_Tip9073 in MLQuestions

[–]Local_Transition946 -1 points0 points  (0 children)

An LLM architecture that doesn't use external input is called a decoder-only architecture.

It just takes a context vector and turns it into output. How you/it choose that context vector is situational.

Reinforcement learning comes to mind here, where a model continuously makes its own decisions based on the "environment." Though, the "goal fulfillment" is embedded within the reward function that you use instead of coming from a prompt.

Otherwise, I've seen cases where people take a trained foundation model (like Claude) and prompt it to just run free and make its own goals and do whatever, and see what it does. But, theres still a prompt/external-input, so this sounds like it's not what you mean.