This is not an alien intelligence yet. We understand how it works how it thinks. But eventually this version can generate an AI that is harder for us to understand, and that version can generate another ai. At some point it will become alien to us because we may not understand the math behind jt,

Queue to Doom Patrol series opening where he bangs his screen wife from behind with bare butt and me desperately trying to find the remote control and telling younglings to close their eyes.

That shuttered my illusions of him as a goofy kids friendly action star. Now I know there I a reason that some series deserve their MA ratings.

Not much related

They rarely ask in US. Only once they asked one of my friends at the departure. I travel overseas frequently too. In most cases we have notarized letters. Once I left a letter overseas coming back, and that is the only time they asked me if I have permission to bring the kids back to US. I told them I had a letter but left it back overseas and they were cool with it.

Thank you for this clear explanation.

Thank you for this. I never used lora except part of stable diffusion training. You linked MS lora lib too. What are the differences between yours and theirs?

Yeah. This is a very nice summary of it.

Most commonly used (and successful models) in financial world are typically variations of regression and decision trees (xgboost is being the leader). If you try to do anything else, the powers in place will hang you, cut your head, and urinate in your grave, not necessarily in that order.

This seems to be a very ambitious project, as there are several ML projects that have very obscure dependencies that dont't work out of the box. This is especially true for older repos. I would personally be very interested at a reasonable price level (compatible to vast ai or runpod) to check out some repos without hassling with setup.

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But I'm just a hobbyist. In a professional environment, I don't know if I would be interested in an automated ML setup for a long term development/production solution. My company uses H2O, DataRobot, some IBM solution, (and another one but forget the name). They have some attractive features for everyday data analysts, but mostly limits the advanced users. In a corporate environment, your solution seems to fit between an expert developer who does all work, and an AutoML solution that makes most of the work.

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I think it is great idea for rapid experimentation for middle-high end development . So I suspect your target audience for those features are going to be either educational institutions, or any kind of research centers, be it military or commercial. I hope it will have enough interest to support you financially. Good luck with your company.

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ps: if you can find a way to let users download the environment where the target repo runs (or provide a tool to mirror) for local development (may be at an extra cost) it would be very useful feature for most people. I would even pay for such a stand-alone software.

Wow, I didn't know about this project but the samples are very good. Clearly they need some post processing (I'm guessing he used ted talks that may explain the slight microphone tone) then they will be even more realistic.

I wonder if he used in-sample text or cherry picked the best (he mentioned they were some of the better ones).

I will definitely check that out.

Update:listening long sentences some of them are clearly used audiobook library. But some of the short sentences seems to be from ted talks. Update2: double wow, I just listened tom and weaver without checking their names.They definitely sound a lot like real actors themselves as I immediately recognized the actors.

Great idea. Hope you will earn more money after people recognize its value.

One neat feature with UMAP is you can map the new data to the same space later. None of the algorithms in Scikit does that if I remember correctly.

The problem with umap is you can not give your custom distance metric in the original space, and request UMAP to preserve proximity of original points.

There was an article on either medium or towards data sciences that showed auto encoders are actually pretty good on this. I don't remember the article url, but it may have been this. https://towardsdatascience.com/how-autoencoders-outperform-pca-in-dimensionality-reduction-1ae44c68b42f

Thank you for the explanation.

Good luck to everybody for the next steps.

How is the confidence calculated here? Do the reviewers decide it themselves or it is based on a reviewer's consensus with other reviewers' decisions among all their reviews?

Thank you for the information.

I never heard pre-exposure for rabbies. If you have it, will it protect you like a regular vaccine, or do you still need additional shots if you are bitten?

Thank you all for the great suggestions. Instead of spamming all your replies I upvoted each one.

Anything similar for hobby users that have sub $75 budget? I understand real leather is expansive, so other material is fine.

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edit: I meant not electrician specific but a general belt/pouch for weekend handymen.