Neurips 2024 Tutorial: Beyond Decoding: Meta-Generation Algorithms for Large Language Models
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and dataset of sufficient scale, scaling up compute at training time leads to better final...
Upcoming Events
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December101:30 - 4 pmEvent Details
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...
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December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
Past Events
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February2312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The problem of parallel stochastic convex optimization (SCO) was first formalized by Nemirovski in ’94. In this problem, there...
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February1612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Foundational large language models, while successful at shorter contexts, struggle to scale to longer context inputs. Preventing performance…
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February212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural correspondence…
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January2612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: How can we find and apply the best optimization algorithm for a given problem? This question is as old...
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January262 - 4 pmEvent Details
Connecting undergraduate and graduate students with machine learning research opportunities across campus.
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January25All dayEvent Details
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world...
