Even_Adder

@[email protected]

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Even_Adder,

Donald got comics in Sweden that characterized him completely differently than how he’s shown in the US. I think he’s a much better character there.

Even_Adder,

It’s bait, and it worked.

Even_Adder,

I just wanted a short explanation.

https://i.imgur.com/whGTcEK.png

Is this even right?

Even_Adder,

I bet I lost that part of the explanation when I asked for layman’s terms.

Even_Adder,

Cool, the plausible answers are always the most dangerous.

Even_Adder,

The chad vs. virgin meme was originally the reverse. Virgin did things the way you would expect them to be done, and Chad did things in a reckless or incorrect way.

Even_Adder,

Where’s the Custer’s Revenge? I was sure it would be in the comments.

Even_Adder,

I appreciate it. Thanks.

Even_Adder,

They’re getting pretty close. You only need 10GB VRAM to run Hermes Llama2 13B. That’s within the reach of consumers.

https://i.imgur.com/8mT4aer.png

Even_Adder,

Is it actually open source now?

Even_Adder,

Heart Gold and Soul Silver.

Even_Adder,

Reminder that this is made by Ben Zhao, the University of Chicago professor who illegally stole open source code.

Even_Adder,

What about this? These weird little dictionaries have lots of emergent properties we’re still exploring.

Even_Adder,

This may provide interesting avenues to model refinement that aren’t spitting things out and being retrained by “consciousness” telling it yes or no, or feeding it additional info.

Even_Adder,

Cool.

Even_Adder, (edited )

In case you weren’t aware they launched this.

en.serialexperimentslain.io

Even_Adder,

My bad, I changed the link to the landing page. You get a few messages before they ask for money. It’s kind of interesting.

Even_Adder,

It honestly looks almost alright.

Even_Adder,

It might look right in a new more iterations. A paper on their implementation would be cool.

Even_Adder,
Even_Adder,

You are allowed to use copyrighted content for training. I recommend reading this article by Kit Walsh, a senior staff attorney at the EFF if you haven’t already. The EFF is a digital rights group who most recently won a historic case: border guards now need a warrant to search your phone.

Even_Adder,

I agree.

Even_Adder,

Let them come.

Even_Adder,

They killed third party apps for this. Just to catch two Ls in rapid succession.

Even_Adder,

Can someone explain the kunai intersection to me?

I saw a post once over on another site that rhymes with deaddit, listing all the sites for "AI" art, writing, coding, speech, video, music, mimicry, you name it. Does anyone have a graphic, or... (lemmy.dbzer0.com)

…care to contribute a link to their favorite site for an AI activity? I’d be really interested in seeing what’s out there, but the field is moving and growing so fast and search engines suck so hard that I know I’m missing out....

Even_Adder, (edited )

You might find this helpful.

Even_Adder, (edited )

I thought I linked this as well. Whoops, I think I confused it with another thing.

Even_Adder,

Have you seen this paper?

Abstract:

While large language models (LLMs) have demonstrated impressive performance on a range of decision-making tasks, they rely on simple acting processes and fall short of broad deployment as autonomous agents. We introduce LATS (Language Agent Tree Search), a general framework that synergizes the capabilities of LLMs in planning, acting, and reasoning. Drawing inspiration from Monte Carlo tree search in model-based reinforcement learning, LATS employs LLMs as agents, value functions, and optimizers, repurposing their latent strengths for enhanced decision-making. What is crucial in this method is the use of an environment for external feedback, which offers a more deliberate and adaptive problem-solving mechanism that moves beyond the limitations of existing techniques. Our experimental evaluation across diverse domains, such as programming, HotPotQA, and WebShop, illustrates the applicability of LATS for both reasoning and acting. In particular, LATS achieves 94.4% for programming on HumanEval with GPT-4 and an average score of 75.9 for web browsing on WebShop with GPT-3.5, demonstrating the effectiveness and generality of our method.

Graphs:https://preview.redd.it/ail2c1kbh9tb1.jpg?width=857&format=pjpg&auto=webp&s=a89d1f4ce3c536eecda3f7ab6027f304286f6c81https://preview.redd.it/j8xzx1kbh9tb1.jpg?width=1655&format=pjpg&auto=webp&s=c791756af926c7d472313b212de765e74c2b75dahttps://preview.redd.it/t47ne1kbh9tb1.jpg?width=1362&format=pjpg&auto=webp&s=560e5dd82ad06fdb729ab8ea1434c98e5c1a2ed3https://preview.redd.it/r58es3kbh9tb1.jpg?width=1341&format=pjpg&auto=webp&s=d5681992547dd6248ade5729c545eb17e824b7eahttps://preview.redd.it/7viy42kbh9tb1.jpg?width=1496&format=pjpg&auto=webp&s=6454cfe65b511b34771cd510f67775be4e01c636

I think we can’t really get the most out of current LLMs because of how much they cost to run. Once we can get speeds up and costs down, they’ll be able to do more impressive things.

www.youtube.com/watch?v=Zlgkzjndpak

www.youtube.com/watch?v=NfGcWGaO1E4

Even_Adder,

TorToiSe can work off of just three ten second clips when you’re using a pre-trained model. No telling if that’ll sound any good.

Even_Adder,

In a fit of rage, she threw her self back in preparation for a rolling tantrum without anything to catch her.

Even_Adder,

How do you add notes to a user?

Even_Adder,

I wish there was a pure black option on Alexandrite.

Even_Adder,

Imagine their reaction when they find out who’s responsible for heating up the oceans.

Even_Adder,

This paper is just about stock photos or video game art with enough dupes or variations that they didn’t get cut from the training set. The repeated images were included frequently enough to overfit. Which is something we already knew. That doesn’t really go to proving if diffusion models learn like humans or not. Not that I think they do.

Even_Adder,

Non-overfitted images would still have this effect (to a lesser extent),

This is a bold claim to make with no evidence. When every trained image accounts for less than one byte of data in the model. Even the tiniest images file contain many thousands of bytes. One byte isn’t even enough to store a single character of text, most Latin-based alphabets and some symbols, use two bytes.

and this would never happen to a human.

There are plenty of artists that get stuck with same-face. Like Sam Yang for instance. Then there are the others who can’t draw disabled people or people of color. If it isn’t a beautiful white female character, they can’t do it. It can take a lot of additional training for people to break out of their rut, some don’t.

I’m not going to tell you that latent diffusion models learn like humans, but they are still learning. arxiv.org/pdf/2306.05720.pdf Have a source.

I recommend reading this article by Kit Walsh, a senior staff attorney at the EFF if you haven’t already. The EFF is a digital rights group who most recently won a historic case: border guards in the US now need a warrant to search your phone.

This guy also does a pretty good job of explaining how latent diffusion models work, You should give this a watch too.

Even_Adder, (edited )

Base SDXL and SD1.5 with the help of controlnet can both do text too. I forgot Deep Floyd/IF can as well.

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