Overview
Content: Ever wondered how AI customizes and enhances answers using your content? We’ll break down two powerful techniques—RAG and fine-tuning—with simple language and clear use cases.
Estimated Duration: 30 mins
Access: the content is FREE and with unlimited access
Entry Requirements: None
For more info contact: [email protected]
Course Description & Learning Outcomes
By the end of Learning Pill, learners will be able to:
Assess how RAG enables generative AI to deliver business value by securely leveraging internal data for more accurate, context-aware outputs, while fine-tuning customizes models for industry-specific language and reporting needs.
Make informed decisions on when to implement RAG (for real-time, data-driven insights) versus fine-tuning (for specialized communication or compliance), considering cost, scalability, and data privacy.
Evaluate how RAG reduces business risk by minimizing AI hallucinations and providing transparent, auditable responses—critical for regulated industries and client-facing applications.
Understand the business advantages of Graph RAG for managing complex knowledge, supporting advanced analytics, and enabling precise queries across large datasets, particularly in sectors like finance, healthcare, and government.
Plan for the future by recognizing that RAG remains a practical, cost-effective solution for enterprise knowledge management, even as LLM capabilities expand.
Develop strategies for successful adoption by assessing organizational readiness, aligning AI solutions with business objectives, and mitigating risks related to hype and technical debt.
Recommended Prerequisites
No prerequisites
Schedule
Date: 09 Jul 2025, Wednesday
Time: 2:59 PM - 3:59 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
