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Found 5 papers, 1 papers with code
The Falcon Series of Open Language Models
We report detailed evaluations, as well as a deep dive into the methods and custom tooling employed to pretrain Falcon.
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Sentence Completion
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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 data and curated high-quality corpora, such as social media conversations, books, or technical papers.
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
It features both local domains and covariance localisation in order to learn the chaotic dynamics and the local forcings.
A comparison of combined data assimilation and machine learning methods for offline and online model error correction
We compare online and offline learning using the same framework with the two-scale Lorenz system, and show that with online learning, it is possible to extract all the information from sparse and noisy observations.
Online learning of both state and dynamics using ensemble Kalman filters
The reconstruction of the dynamics of an observed physical system as a surrogate model has been brought to the fore by recent advances in machine learning.
