7:48 Why using a dumb language model can speed up a smarter one: Speculative Decoding [Lecture] Jordan Boyd-Graber 160 views - 3 months ago
9:37 The OG Machine Translation Model: IBM Model 1 [Lecture] Jordan Boyd-Graber 805 views - 1 year ago
9:35 How* G*PT* turns* characters* into* "*words*":* find* out* what* the* aster*isks* mean* [Lecture] Jordan Boyd-Graber 97 views - 4 months ago
3:07 Writing an Abstract in a Computer Science Paper [Communication] Jordan Boyd-Graber 1.3K views - 4 years ago
18:01 Why Computer Scientists work on Question Answering: Cranfield vs Manchester Jordan Boyd-Graber 1.1K views - 4 years ago
15:46 Lessons from the Bible on Modern Topics: Low Resource Multilingual Topic Model Evaluation Jordan Boyd-Graber 298 views - 7 years ago
8:08 How a paper from the 20s inspired models for education, politics, and AI models [Lecture] Jordan Boyd-Graber 80 views - 4 weeks ago
5:29 [Lecture] What I'm Teaching this Spring: A Seminar on Question Answering Jordan Boyd-Graber 664 views - 4 years ago
6:44 Tokenization: How computers go from bits to words [Lecture] Jordan Boyd-Graber 93 views - 4 months ago
9:30 We don't need no stinking floating point numbers for AI [Lecture] Jordan Boyd-Graber 121 views - 3 months ago
55:17 OTTRS Speaker Series: Snehesh Shrestha - October 27, 2023 | UMD INFO College UMD INFO College 148 views - 2 years ago