Section outline

• Select section Day 1: Introduction to Generative AI & LLMs

  Day 1: Introduction to Generative AI & LLMs

  Collapse all Expand all

  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
• Select section Day 2: Advanced Generative AI Techniques

  Day 2: Advanced Generative AI Techniques

  Session 5: Conversational AI & Chatbots (2 Hours)

  • Building chatbots using LLMs
  • Managing conversation context & personalization

  Hands-on Lab: Developing a GPT-based chatbot

  Session 6: Text Summarization & Translation (2 Hours)

  • Extractive vs. Abstractive Summarization
  • Machine Translation using Pre-trained LLMs

  Hands-on Lab: Summarizing long texts & translating content

  Session 7: Fine-Tuning & Customization (2 Hours)

  • Fine-tuning GPT & BERT on custom datasets
  • Data Preprocessing for LLMs

  Hands-on Lab: Fine-tuning a model for sentiment analysis

  Session 8: Challenges & Ethics in Generative AI (2 Hours)

  • Bias, Content Moderation, & Responsible AI
  • Controlling AI-generated outputs

  Discussion: Mitigating biases & ethical AI deployment