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From Parallel Token Prediction to Scalable Language Models

Prof. Stephan Mandt (UC Irvine) on generating several mutually consistent tokens in one forward pass — models pretrained to 3 billion parameters that approach autoregressive quality with inference up to 5.7× faster. Hosted by Prof. Julia Vogt.

Dates
Time
11:30–12:30
City
Zurich
Venue
ETH AI Center Foyer, OAT X 11, Andreasstrasse 5, Oerlikon
Organiser
ETH AI Center
Format
Meetup
Cost
Free (registration required)
Topics
AI research, LLM efficiency, Open-source LLMs
Verified via
ai.ethz.ch