courseraАнализ данных

Optimizing Foundation Models

Курс от Amazon Web Services

Начальный≈ 1.1 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Amazon Web Services Fine-tuning Retrieval-Augmented Generation Generative AI Agents Embeddings Model Training Data Preprocessing Model Optimization Agentic Workflows Vector Databases

Программа курса

1 модулей · 2 учебных материалов

01Optimizing Foundation Models2 материалов

Optimizing Foundation ModelsВнешний инструмент Self-Reflective QuizЗадание

Учитесь у экспертов

AWS Instructor

Преподаватель курса