Dig deeper here: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi Technical details as a talk: https://youtu.be/KJtZARuO3JY Made for an exhibit at the Computer History Museum: https://computerhistory.org/ Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support Timestamps: 0:00 - Who this was made for 0:41 - What are large language models? 7:48 - Where to learn more No secret end-screen vlog for this one, the end-screen real estate was all full! ------------------ These animations are largely made using a custom Python library, manim. See the FAQ comments here: https://3b1b.co/faq#manim https://github.com/3b1b/manim https://github.com/ManimCommunity/manim/ All code for specific videos is visible here: https://github.com/3b1b/videos/ The music is by Vincent Rubinetti. https://www.vincentrubinetti.com https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly. Mailing list: https://3blue1brown.substack.com Twitter: https://twitter.com/3blue1brown Instagram: https://www.instagram.com/3blue1brown Reddit: https://www.reddit.com/r/3blue1brown Facebook: https://www.facebook.com/3blue1brown Patreon: https://patreon.com/3blue1brown Website: https://www.3blue1brown.com
Really nice and clear introduction (which by the way also helps to explain why any reference to "intelligence" is a misleading metaphor): Large Language Models explained briefly www.youtube.com/watc...
Otherwise I can also recommend to watch this short-ish video from @3blue1brown.bsky.social -> www.youtube.com/watch?v=LPZh...
Tror ikke man vil fÄ meget ud af at kigge i kildekoden da modellen jo fÞrst skal trÊnes fÞr den kan svare pÄ noget som helst. Men det er klart at det ikke er en ren regnemodel nÄr den kan censurere. Her er til gengÊld en rigtig god forklaring pÄ hvordan det virker: youtu.be/LPZh9BOjkQs?...
What is a LLM? It is a set of statistical algorithms that predict the next word in a sentence. It's trained by reading in a "library" of books to determine probability of the "next word". It takes the artistry of all the books and reduces it to a single voice. www.youtube.com/watch?v=LPZh...
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