“Tinker manages the training. So companies can customize the models without actually owning the GPUs.”
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Said on Everyday AI Podcast - An AI and ChatGPT Podcast
“Mistral Large 4, aka LeChunk, a trillion parameter model trained in two months on 3,800 GPUs in Mistral's own data centers”
The MAD Podcast: How AI Gets Built - with Matt Turck · Mistral Is SO Back: Inside Le Chonk, the West’s Biggest Open Model (Pierre Stock, VP Science, Mistral)
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What was described
trained Mistral Large 4, a trillion-parameter model, in two months using 3,800 GPUs in Mistral's own data centers
two months; 3,800 GPUs
Said nearby on the same subject
“We need to get much more efficient at delivering the power networks… moving to 800 volt DC data center… eliminate so many conversion steps”
PG
Pat Gelsinger
The a16z Show ·
“The model can also generate videos… the model can also generate its own training data so that becomes a self-fulfilling flywheel”
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Said on Latent Space: The AI Engineer Podcast
“You need more pre-training data… give the model a bunch of data and think… transform this data… pre-trained on it would make the model smarter”
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Said on "The Cognitive Revolution"
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