Unlock the power of Generative AI with Oracle Cloud Infrastructure (OCI) in this comprehensive Practice Exam designed for aspiring AI professionals. This Practice Exam provides a deep dive into the fundamentals and advanced concepts of Large Language Models (LLMs), equipping you with the knowledge and skills to leverage OCI’s cutting-edge Generative AI services. From understanding LLM architectures to building and deploying sophisticated AI applications, this course covers it all.
We begin by exploring the core principles of LLMs, including their architectures and the nuances of prompt engineering. You will gain insights into LLM fine-tuning and delve into specialized models such as code models, multi-modal models, and language agents.
Next, we focus on the OCI Generative AI service. Learn how to utilize pretrained foundational models for tasks such as generation, summarization, and embedding. Discover how to create dedicated AI clusters for fine-tuning and inference and master the process of fine-tuning base models with custom datasets. You will also explore the security architecture of OCI Generative AI and how to create and use model endpoints for inference.
The course culminates with practical applications, where you will build an LLM application using OCI Generative AI services. Understand Retrieval Augmented Generation (RAG), vector database concepts, and semantic search. Learn to construct Lang Chain models, prompts, memory, and chains, and integrate them into a functional LLM application. Finally, you will trace, evaluate, and deploy your LLM application, ensuring it meets the highest standards of performance and reliability.
