Overview
In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how to prepare data for fine-tuning, and more.
- Course level: Fundamental
- Duration: 1 hour
Activities
This course includes interactive elements, text instruction, and illustrative graphics.
Course objectives
In this course, you will learn how to:
- Identify AWS services that help store embeddings with vector databases.
- Understand the role of agents in multi-step tasks.
- Understand approaches to evaluate FM performance.
- Determine whether an FM effectively meets business objectives.
- Define methods for fine-tuning an FM.
- Describe how to prepare data to fine-tune an FM.
- Determine whether an FM effectively meets the business objectives based on the business metric identified in the use case.
Intended Audience
This course is intended for individuals interested in artificial intelligence and machine learning (AI/ML), independent of a specific job role.
Prerequisites
Optimizing Foundation Models is part of a series that facilitates a foundation on artificial intelligence, machine learning, and generative AI. If you have not done so already, it is recommended that you complete these two courses:
- Fundamentals of Machine Learning and Artificial Intelligence
- Exploring Artificial Intelligence Use Cases and Applications
Course outline
- Section 1: Introduction
- How to use this course
- Course Overview
- Section 2: Optimizing a Foundation Model with Retrieval Augmented Generation
- Business case
- Retrieval-Augmented Generation (RAG)
- Agents
- Evaluate results
- Knowledge Check
- Section 3: Optimizing a foundational model with fine-tuning
- Business case
- Fine-Tuning
- Model evaluation
- Knowledge Check
- Section 4: Conclusion
- Resources
- Contact Us
Keywords
- Gen AI
- Generative AI
University: Not specified
Provider: AWS Skill Builder
Categories: Not specified
