“We’re not training our models … we’re using customer feedback to make our systems better.”
NC
Nick Coleman
Lawyerist Podcast ·
Equity · Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs
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apply model distillation during training
“We’re not training our models … we’re using customer feedback to make our systems better.”
“We put a ton of time into not just model architecture, but also the data pipelines around it, how we eval the product, and having a really good RL loop around post-training and mid-training the model”
“The model can also generate videos… the model can also generate its own training data so that becomes a self-fulfilling flywheel”
“We were doing on average maybe $40,000 per drop and then during COVID in one day we did like $600,000… the pre-order model… no inventory risk”
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