STATS 425
Large Language Models in Text Mining
Statistics · 4 units · Graduate professional courses (400-499)
Limited to Master of Applied Statistics and Data Science students. In-depth exploration of large language models (LLMs) and their applications in text mining. Students learn underlying architectures, techniques for fine-tuning and deploying these models, and how to leverage them for various text mining tasks. Through hands-on projects, students apply theoretical concepts to real-world datasets, enhancing their practical skills in the field.
Letter grading.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.





