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06/01/2023
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Large language models are commonly trained on a mixture of filtered web ...
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10/27/2022
What Language Model to Train if You Have One Million GPU Hours?
The crystallization of modeling methods around the Transformer architect...
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10/26/2022
Scaling Laws Beyond Backpropagation
Alternatives to backpropagation have long been studied to better underst...
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05/11/2022
RITA: a Study on Scaling Up Generative Protein Sequence Models
In this work we introduce RITA: a suite of autoregressive generative mod...
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04/12/2022
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Large pretrained Transformer language models have been shown to exhibit ...
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09/24/2021
Is the Number of Trainable Parameters All That Actually Matters?
Recent work has identified simple empirical scaling laws for language mo...
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07/25/2021
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
We introduce LightOn's Optical Processing Unit (OPU), the first photonic...
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04/29/2021
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
Randomized Numerical Linear Algebra (RandNLA) is a powerful class of met...
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02/08/2021
