Fundamentals of Large Language Models (LLMs)

• Explain the fundamentals of LLMs
• Understand LLM architectures
• Design and use prompts for LLMs
• Understand LLM fine-tuning
• Understand the fundamentals of code models, multi-modal, and language agents

Using OCI Generative AI Service

• Explain the fundamentals of OCI Generative AI service
• Use pretranined foundational models for Chat and Embedding
• Create dedicated AI clusters for fine-tuning and inference
• Fine-tune base models with custom dataset
• Create and use model endpoints for inference
• Explore OCI Generative AI security architecture

Implement RAG using OCI Generative AI service

• Explain OCI Generative AI integration with LangChain and Oracle Database 23ai
• Explain RAG and RAG workflow
• Discuss loading, splitting and chunking of documents for RAG
• Create embeddings of chunks using OCI Generative AI service
• Store and index embedded chunks in Oracle Database 23ai
• Describe similarity search and retrieve chunks from Oracle Database 23ai
• Explain response generation using OCI Generative AI service

Using OCI Generative AI RAG Agents service

• Explain the fundamentals of OCI Generative AI Agents service
• Discuss options for creating knowledge bases
• Create and deploy agents using knowledge bases
• Invoke deployed RAG agent as a chatbot