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.
Optimizing Foundation Models
您将学到什么
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 and determine whether an FM effectively meets business objectives.
您将获得的技能
要了解的详细信息
作业
1 项作业
授课语言：英语（English）
最近已更新！
October 2025
了解顶级公司的员工如何掌握热门技能
该课程共有1个模块
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.
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1篇阅读材料1个作业
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