Summary
This discussion questions why models from major AI labs dominate real-world usage, despite the availability of open-source pretrained models at a similar scale. It suggests that the key differentiator might be the sophisticated Reinforcement Learning from Human Feedback (RLHF) applied post-pretraining, rather than just the initial compute, implying a potential area for smaller labs to focus on.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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