Відео

What's a Llama?

Humans can learn sports more quickly by visualising and dreaming. A test done on a basketball team shooting hoops proved this when the group who visualised shooting hoops improved more than the group who actually shot hoops.

Meanwhile Dhruv Rathee : "Why do we need computers "

"A beefy desktop computer" sounds a lot more attainable than a desktop computer with 96GB VRAM, which is closer to what you actually need. Or 48GB (2 1500€ 4090s) if you use a lower bit depth and small context, giving you results worse than indicated by the benchmarks.

The new model is available in GPT4ALL

The perturbation inducing researcher will need to be put in the witness protection program once the robots take over.

WinAmp...

What alive to be Llama

Whoa

So basically, first we solve a problem using a neural net, then we apply this method to learn the underlying algorithm that best resembles the decisions made by the neural net? Yea sounds good. That's probably how humans also do it. First we experience the world, and get some intuition about it, learn to reflexively act. Then, with some conscious thought, we infer rules from these intuitions.

YES!!! AMAZING! Finally more ways i can scam unknowing and innocent people with fake marketing, oversaturating the internet out of human touch and meaning! Im so excitet😊now we don't need creativity anymore. thank you love your content btw👍❤

Meta is ight

im surprised by the smaller models, like phi 3b or llama 8b. Insane results running nearly everywhere.

All these big companies pretending like they're scholars, pushing technology forward. But none of them have any clue how to package them into viable products. As always, leave it to Apple to figure out the marketing strategy and then they'll all just copy/paste.

Could you release a paper on some of the Chinese Ais?

If people want to play around with different ai models, check out Poe instead, it's very cool!

Would be weird if after learning for a few thousand hours, they stop playing and start attacking that lady.

What aLlama to be a time

The 800B is still in training

Wait, so you can run this locally? So, I can have it in a zombie apocalypse?

5 years they suck bro

Bro kinda late

what was the website for that gpt benchmark?

Why is llama released for free?

So basically robots have the matrix now

@shykids could you please let me know if the voice was generate through the AI too? Cheers. PS wonderful ideia for a video.

.alive be to time a What

I can't stand that the first sentence in Gemini is always "That's a great question!" or whatever. Just get to the point!

I'm curious about AI developments outside of LLMs that will cause the most physical changes. Which AI will make new stuff, not say new things?

And remember, people see this and say AI's can't learn.

Petition to return your old natural voice

In my completely uneducated opinion, smaller and more efficient models are the future. I tried just the 8 billion parameter version of LLaMA 3, and it completely blew my mind. I would be happy with an even smaller but less precise model running on my phone locally. Hopefully this is where Apple goes with Siri, that would be awesome.

"AI assistants are improving at a stunning pace", how can you conclude that? After pouring billions in R&D, data and compute, there are only marginal improvements in some areas over the GPT4 released more than a year ago. I'm bullish on AI but not delusion.

How do I thumb this video up even more. AI coding is amazing.

"We also evaluated humans on MATH, and found that a computer science PhD student who does not especially like mathematics attained approximately 40% on MATH" lmao

I don't get why they are geoblocking their stuff. It's really annoying.

Whatever so called performance scores are totally negated by the scummy Meta company that rakes in billions from the worst scammers around.

AI AI AI AI what a time to see losers getting excited about automation tools

I don't trust anything from Facebook, especially the 'free' things. It tells me that they are selling all the user data the collect with it

"open source"

Competition is the best 💟🌌☮️

i just realized that 5 shot doesn't mean 5 shots. it means you give the AI the prompt, their answer, and a correction along with the prompt to improve it. so 5 shot doesn't mean you say "answer this" and give it 5 opportunities with different perlin noise to calibrate it. holy shit. this is so much less scary all of a sudden.

I have tested the small 8B version of Llama3 for quite some time now locally and in my oppinion, of the smaller models, it is the best yet. It has very precise text and context understanding. Unfortunately, my laptop is too weak for the 70B model

It may be speedy as a reconnaissance of 300 words per second, but it is better a reconnaissance of 10 digital books per second including their illustrations.

No trying to be a troll. But Llama 3 has been out for weeks at this point and pretty much everyone had done the “presentation video” for it. At first when I check out the video I thought maybe it was going to cover the 400B model. Strange, seems to be week+ lag now with 3MP compared to other AI/Tech channels.

I understand the monetary reasons why companies want their own AI. but for the benefit of society as a whole, wouldn't it be better for all companies to just merge with the top dog and form the biggest singular ai model? like lets say OpenAi achieves AGI. why would ANYONE use anything but that? What's the point in lesser models? seems like it would benefit companies and everyone else if everything just ran off the same model...one thats proven to be #1 I mean. These multimodels are cool and all but Ive already boiled it down to co-pilot because it uses Chatgpt and has great features. going forward i dont think majority of people are going to swap back and forth. which means, companies are going to be wasting money and effort when they could help make the best one better.

But how do they gather information from the real world? Just the camera on their heads and (im assuming) the sensor on their chests?

Sumotori Dreams in real life

It might be intelligent, but it doesn't know all the references from its citations by heart due to low count in the parameters.