Dive into the second part of a two-video series on Latent Dirichlet Allocation (LDA), focusing on training the model using Gibbs sampling. Explore the problem recap, exercise properties, and goals before delving into the intricacies of Gibbs sampling. Understand the rationale behind this sampling method and its high probability applications. Conclude with a comprehensive recap of the LDA training process, building upon the foundations laid in the first video of the series.