Oracle Cloud Infrastructure AI Foundations Associate: Fine-Tuning RAGs and LLM Parameters

Prompt engineering is a powerful technique for guiding large language models (LLMs) to produce accurate, relevant, and creative outputs, often without modifying the model itself. However, deeper customization and control require a broader set of tools and strategies.In this course, explore core prompt engineering techniques and how to craft inputs that optimize LLM performance. Next, discover how runtime parameters such as temperature and top-p influence model behavior and output diversity. Finally, learn about advanced approaches like fine-tuning and retrieval-augmented generation (RAG), which allow LLMs to specialize in domain-specific data and integrate external knowledge sources for more factual and up-to-date responses.This course is part of a series that prepares learners for the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) certification.