날짜		강의 주제
3/7	1	Introduction & NLP Tutorial Part 1
3/14	2	NLP Tutorial Part 2
3/21	3	BERT (Encoder-only Models)
3/28	4	T5 (Encoder-Decoder Models)
4/4	5	GPT (Decoder-only Models), Huggingface 실습
4/11	6	In-Context Learning
4/18	7	Parameter-efficient Fine-tuning with LLMs
4/25		중간고사
5/2	8	Training LMs with Human Feedback
5/9	9	Open-source LLMs
5/16	10	Hallucination of LLMs
5/23	11	Data Augmentation with LLMs, OpenAI API Usage
5/30	12	Retrieval Augmented LLMs
6/6	13	No-class
6/13	14	Multimodal LMs
6/20		기말고사