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Arena.ai
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Where AI meets the real world. We measure and advance the frontier of AI through community-driven evaluation. We’re hiring →
参加 March 2023
224 フォロー中    241.4K ファン
Standard inference time sampling methods (rejection sampling, best-of-n) can fail catastrophically as errors compound over long generations - even with a nearly-perfect verifier. @AShettyV talks through VGB (value-guided backtracking): a provably more robust fix, rooted in sampling theory. Watch the full tech talk here:
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