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. 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 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” in GPT? ■END■
Summary
California | 2025-02-01 | Y | 3 | 100% | 0% | 33% | 99.00 |
Lower Mid-Atlantic | 2025-02-01 | Y | 6 | 100% | 0% | 33% | 114.33 |
Midwest | 2025-02-01 | Y | 6 | 100% | 0% | 33% | 93.67 |
Northeast | 2025-02-01 | Y | 5 | 100% | 0% | 20% | 95.60 |
Pacific Northwest | 2025-02-01 | Y | 2 | 100% | 0% | 50% | 116.00 |
South Central | 2025-02-01 | Y | 2 | 100% | 0% | 0% | 44.00 |
Southeast | 2025-02-01 | Y | 1 | 100% | 0% | 100% | 128.00 |
Upper Mid-Atlantic | 2025-02-01 | Y | 8 | 100% | 0% | 0% | 85.88 |
Buzzes
Player | Team | Opponent | Buzz Position | Value |
---|---|---|---|---|
Eve Fleisig | UC Berkeley A | UCLA | 44 | 10 |
Liam Starnes | Chicago B | Indiana B | 44 | 10 |
Stefan Stealey-Euchner | ASU | Texas B | 44 | 10 |
Karan Gurazada | Texas A | TAMU | 44 | 10 |
Coby Tran | Chicago C | WashU A | 45 | 10 |
Vinayak Singh Bhadoriya | NYU B | Rutgers A | 48 | 10 |
Jerry Vinokurov | John Jay College | Maryland B | 58 | 10 |
Jonathan Huang | MIT A | Brandeis B | 61 | 10 |
Alan Fan | UW B | Alberta | 66 | -5 |
Derek Chen | Columbia C | Vassar A | 66 | 10 |
Anuttam Ramji | UC Berkeley B | Claremont B | 82 | -5 |
Ryan Rosenberg | NYU A | George Washington B | 82 | 10 |
Braeden LaRoche | South Carolina | Wake Forest | 83 | -5 |
Arjun Nageswaran | Harvard A | BU | 83 | 10 |
Danny Han | Penn A | Haverford B | 83 | 10 |
Max Neal | Harvard B | Brown A | 85 | 10 |
John Cha | Tufts A | UMass Boston | 93 | -5 |
Jiping Fang | Illinois C | Illinois B | 95 | -5 |
Rohan Dalal | Georgia Tech C | Bruin A | 96 | -5 |
Miller Doerr | Liberty B | Liberty A | 100 | 10 |
Rasheeq Azad | UNC B | UNC C | 104 | 10 |
Joseph Chambers | Virginia A | Virginia Tech A | 104 | 10 |
Drew Scheiner | Missouri | Indiana A | 104 | -5 |
Matthew Wang | UBC | UW A | 104 | 10 |
Isaac Mammel | Maryland A | Penn B | 104 | 10 |
Ned Tagtmeier | Chicago A | Missoui S&T | 108 | 10 |
Neal Joshi | WashU B | Chicago D | 109 | 10 |
Chris Yoo | William & Mary | Liberty C | 115 | -5 |
Jake Markus | Dartmouth A | Brandeis A | 121 | 10 |
Avery Barnett | Haverford A | Yale A | 121 | 10 |
Ivan Stanisavljevic | Duke | UNC D | 123 | 10 |
Nolan Dannels | UCSD | Claremont A | 125 | 10 |
Nathan Zhang | Cornell B | George Washington A | 125 | 10 |
Johanna Bryant | Liberty C | William & Mary | 127 | 10 |
Aidan Deshong | Claremont B | UC Berkeley B | 128 | 10 |
Sachin Poobalasingham | Wake Forest | South Carolina | 128 | 10 |
Yash Mandavia | Illinois B | Illinois C | 128 | 10 |
Alex Akridge | Indiana A | Missouri | 128 | 10 |
Khugan Chan | UMass Boston | Tufts A | 128 | 10 |
Bennett Grappone | Alberta | UW B | 128 | 10 |
Jack Lewis | Bruin A | Georgia Tech C | 128 | 10 |