Tag: Summarization

This blog post delves into the core concepts of Bayesian statistics, including posterior distributions, point estimates, and loss functions. We’ll explore how to summarize posterior distributions using grid approximations, percentile intervals, and highest posterior density intervals (HPDIs), ...

Online review community such as Trustpilot gives an NLP enthusiast an infinite dataset as a playgrond to perform NLP tasks. Our aim is that we are leveraging these datasets to perform 2 key tasks: Summarization: to have the pre-trained model capture only the most important parts...