DeepSeek Just Added Parameters Where There Were None
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Top Comments (10)
Not to brag, but I understood some of those words 😎
OpenAI: DeepSeek is stealing from us!!!1 DeepSeek:
As a PhD student working with LLMs, these sorts of explanations are such a time-saver! Thank you!
deepseek being the GOAT once again...
Slowly realizing that maybe... just maybe... I aint cut out for this lol
Watching this in 0.25x
9:21 But above all else, please remember that Synchorn Knopp takes the hyper connection residual mixing matrix, and does an entropic projection onto the Berkhoff polytope and turns it into a doubly stochastic matrix to prevent the hyper connection from exploding.
AND THEN, DEEPSEEK SAID: "LET THERE BE PARAMETERS 🌅"
OpenAI is putting the Deep in DeepSeek with this. Huh? **flips paper** Right, DeepSeek is putting the Open in OpenAI with this.
Amazing video! Reminds me of the time before GPT-3, where the actual structure was still being innovated on instead of just pumping in compute.
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Top Comments (10)
Not to brag, but I understood some of those words 😎
OpenAI: DeepSeek is stealing from us!!!1 DeepSeek:
As a PhD student working with LLMs, these sorts of explanations are such a time-saver! Thank you!
deepseek being the GOAT once again...
Slowly realizing that maybe... just maybe... I aint cut out for this lol
Watching this in 0.25x
9:21 But above all else, please remember that Synchorn Knopp takes the hyper connection residual mixing matrix, and does an entropic projection onto the Berkhoff polytope and turns it into a doubly stochastic matrix to prevent the hyper connection from exploding.
AND THEN, DEEPSEEK SAID: "LET THERE BE PARAMETERS 🌅"
OpenAI is putting the Deep in DeepSeek with this. Huh? **flips paper** Right, DeepSeek is putting the Open in OpenAI with this.
Amazing video! Reminds me of the time before GPT-3, where the actual structure was still being innovated on instead of just pumping in compute.