Update 2024-1-16-seminar.md

_posts/2024-1-16-seminar.md

@@ -25,9 +25,15 @@ Discover the realm of Large Language Models (LLMs) and their burgeoning applicat
 ## Prerequisites
 Students should have experience with machine learning, data analytics, and deep learning. Strong programming skills in a high-level language such as Python, as well as frameworks for rapid ML prototyping, e.g., PyTorch, Tensorflow, Keras, etc. are essential for implementing and experimenting with the concepts covered in this course. While not mandatory, familiarity with natural language processing would be advantageous.
 
+## Grading Policy
+TBD
+
 ## Late and Missed Work
 All assignments are due on the date assigned at the listed time. **No late assignments will be accepted.**
 
+## Lecture Schedule
+TBD
+
 ## Accommodation Statement
 Virginia Tech welcomes students with disabilities into the University’s educational programs. The University promotes efforts to provide equal access and a culture of inclusion without altering the essential elements of coursework. If you anticipate or experience academic barriers that may be due to disability, including but not limited to ADHD, chronic or temporary medical conditions, deaf or hard of hearing, learning disability, mental health, or vision impairment, please contact the Services for Students with Disabilities (SSD) office (540-231-3788, [[email protected]](mailto:[email protected]), or visit [ssd.vt.edu](ssd.vt.edu) to an external site). If you have an SSD accommodation letter, please meet with the instructors privately during office hours as early in the semester as possible to deliver your letter and discuss your accommodations. You must give the instructors a reasonable notice to implement your accommodations, which is generally 5 business days and 10 business days for final exams.