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Found 6 papers, 4 papers with code
Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective
The rapid advancements in Artificial Intelligence (AI), particularly in generative AI and foundational models (FMs), have ushered in transformative changes across various industries.
The Cambridge Law Corpus: A Dataset for Legal AI Research
We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research.
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
To scale non-parametric extensions of probabilistic topic models such as Latent Dirichlet allocation to larger data sets, practitioners rely increasingly on parallel and distributed systems.
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler
We conclude by comparing the performance of our algorithm with that of other approaches on well-known corpora.
DOLDA - a regularized supervised topic model for high-dimensional multi-class regression
Generating user interpretable multi-class predictions in data rich environments with many classes and explanatory covariates is a daunting task.
Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models
We propose a parallel sparse partially collapsed Gibbs sampler and compare its speed and efficiency to state-of-the-art samplers for topic models on five well-known text corpora of differing sizes and properties.
