講義資料を全世界に向けて無償で公開し、最高水準の理工系教育を全世界の共有財産とすべく提供するプラットフォームです
講義資料を全世界に向けて無償で公開し、最高水準の理工系教育を全世界の共有財産とすべく提供するプラットフォームです
講義資料を全世界に向けて無償で公開し、最高水準の理工系教育を全世界の共有財産とすべく提供するプラットフォームです
CategoriesAll (2)AI (2)LLMs (2)news (2)podcast (2) Building Terrible AI Systems podcast news AI LLMs I enjoyed the heck out of this conversation between Hugo Browne-Anderson and Jason Liu on Hugo’s podcast, Vanishing Gradients. It took me a while to realize that Jason is… Jun 9, 2024 JD Long Pydantic is all You Need podcast news AI LLMs I absolutely didn’t grok Pydantic the first time I had a cowo
Nonparametric Bayesian Data Analysis Peter M¨uller∗ Fernando A. Quintana† Abstract We review the current state of nonparametric Bayesian inference. The discussion follows a list of important statistical inference problems, including density estimation, regression, survival analysis, hierarchical models and model validation. For each in- ference problem we review relevant nonparametric Bayesian mo
lda: Collapsed Gibbs Sampling Methods for Topic Models Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as wel
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