Thanks so much! Appreciate your taking the time to comment.

After effects I believe

Good questions. We have deployed 30x total or on average 5 additional instances per month of the November 2023 Top 500 submission with 14k networked GPUs, 1.1m cores and 561 petaflops. These will continue getting bigger and more instances provisioned in the future. And now there are more options for GPUs and AI accelerators, too, plus the Nvidia H200 and Blackwell architectures are coming soon with more speed, power and efficiency.

Thanks for watching and commenting!

That's what you want 😉 it's good to stay under 315 seconds per year

Thank you! Happy that it's useful - and it keeps evolving quickly.

It is. It's a little like differencing disks with the additional state/data.

Yes, that was intentional, because Multi-LoRA would allow Neo to have hundreds or thousands of skills added simultaneously, not just the one like last year.

Extreme amount of educational material is available about Excel, VBA, Python, SQL, PowerBI, PowerQuery and so on. People need time to learn AND time to apply the newly acquired skills.

@@mokus603 I agree. Seemed there was another necessary condition. Being interested in learning it too.

Most people (for various reasons ) just want problems solved not to learn excel or do training otherwise they would have learned it.

@@youMEtubeUK I agree. Which is why Microsoft is just pulling futher and futher ahead of their users.

That's the prime requirement

Mark has been trained on at least 175 billion parameters, but he isn't AI 🙂

it's called a botnet and yeah you can do that. these are purpose built AI chips though, nobody has those at home because they are not for sale yet.

also, from the video, inferencing requires high bandwidth memory, not so much compute power, which would suffer greatly from latency

@@test-zg4hv yea I'm asking how you test it? Is it kind of like a error checking algorithm?

You can stipulate that in code or using the Azure AI Studio, and you can test it. We cover that to some extent in this episode kzbin.info/www/bejne/aZm9oKWCrpt9n6M

Glad you liked it. Thanks for taking the time to comment.

Glad you enjoyed it!

Appreciate the compliment, thank you!

Thank you so much! Appreciate your taking the time to comment and glad you liked it.

It's not. We just announced 30x have been added since November 2023

What he isn’t saying is for how long this rate goes on

@@Hashtag-Hashtagcucu For ever, as long as there are people thinking that it's a great idea to chat with a machine or have a robot-dog. Insanity is the new norm.

​@@MSFTMechanicsStargate and quantum computing hurry up

Thank you! Glad it helped on the architecture front.

Glad you liked it and thank you!

You're welcome

The closest correlation to size is the parameter count, so Phi-3-mini has 3.8bn parameters and is roughly 2.2GB file size to run locally on the phone as demonstrated by Mark in the video. There are things that the larger models will do in terms of reasoning and built-in knowledge, as Mark said. One example that we actually hit while planning this show is that the slightly larger Phi-3 models could phrase the cookie recipe in the writing style of Yoda from Star Wars. Because mini didn't have the pop culture references in its training set, we made the tone sarcasm instead.

@@MSFTMechanics funny I’m watching Star Wars episode 1 right now on Apple TV+😂😂😂😂 Sarcasm is something the is very rich in style and in different languages would be interesting to see how this is done in say Italian or French