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Section outline

  • Session 1: Introduction to Generative AI (1 Hour)
    • Definition & Types (Text, Image, Video, Music)
    • Generative vs. Discriminative Models
    • Applications: GPT, BERT, Chatbots, Summarization, Translation
    Session 2: Introduction to Transformers (1.5 Hours)
    • Transformer Architecture & Attention Mechanism
    • Pre-training vs. Fine-tuning LLMs
    Session 3: Using Pre-trained Models (1.5 Hours)
    • Hugging Face Library & APIs
    • Hands-on Lab: Using pre-trained models for text generation
    Session 4: Text Generation with LLMs (2 Hours)
    • Sampling Strategies (Top-K, Top-P), Temperature Control
    • Fine-tuning LLMs for summarization & Q&A

    Hands-on Lab: Generating AI-based text using GPT & BERT