The agenda for this session included:

• Understanding AI limitations with public and private data access
• Exploring Model Context Protocol and its role in external data connectivity
• Comparing MCP with Retrieval Augmented Generation approach
• Learning how LLM processes input through tokens and embeddings
• Understanding Vector Database, NLP, NLU and NLG flow
• Breaking down GPT as Generative Pretrained Transformer
• Building conceptual foundation before AI driven coding and development