Topics covered -
Day 1: Traditional NLP and Language Models
Day 2: Generative AI and Prompt Engineering
Day 3: Fine-Tuning and Optimization
Day 4: Retrieval-Augmented Generation (RAG)
Day 5: Evaluation and Emerging Trends
This will include PPTs and python notebooks for hands-on exercise.
