Question

Description acceptable. Over 100 implementations of a strategy for this task are surveyed in a 2024 paper by Gao et al. that categorizes them as Naive, Advanced, or Modular. Novel embeddings of query-specific documents are indexed and used in the “retrieval-augmented” form of this task. (10[1])This task is performed by applying Brownian noise to points in a latent space and then decoding in diffusion models. A game-theoretic agent improves at this task while competing against a discriminator in a type of “adversarial” neural (-5[1])network. This task names a framework consisting of unsupervised “pre-training” followed by supervised “fine-tuning.” Nonsensical outputs during this task are called “hallucinations.” For 10 points, what task names a form of AI commonly used to produce text and images that is the “G” (10[1])in GPT? ■END■ (10[1])

ANSWER: generation [or word forms such as generate; accept text generation or image generation; accept generative artificial intelligence or generative AI or generative pre-trained transformer or generative adversarial network or retrieval-augmented generation; accept descriptions such as computer-produced text or equivalents]
<Johns Hopkins, Other Science>
= Average correct buzz position

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Buzzes

PlayerTeamOpponentBuzz PositionValue
Eve FleisigUC Berkeley AUCLA4410
Anuttam RamjiUC Berkeley BClaremont B82-5
Nolan DannelsUCSDClaremont A12510
Aidan DeshongClaremont BUC Berkeley B12810

Summary

California2025-02-01Y3100%0%33%99.00
Lower Mid-Atlantic2025-02-01Y6100%0%33%114.33
Midwest2025-02-01Y6100%0%33%93.67
Northeast2025-02-01Y5100%0%20%95.60
Pacific Northwest2025-02-01Y2100%0%50%116.00
South Central2025-02-01Y2100%0%0%44.00
Southeast2025-02-01Y1100%0%100%128.00
Upper Mid-Atlantic2025-02-01Y8100%0%0%85.88