Ementorhub

What you'll learn

Identify the fundamentals of Large Language Models, including current evaluation methods and access to Vertex AI's evaluation models.

Apply hands-on knowledge of using Vertex AI's Automatic Metrics and AutoSxS for LLM evaluation.

Evaluate upcoming trends in generative AI evaluation, encompassing text, image, and audio models, and the importance of human evaluation.

Skills you'll gain

Data Ethics

Natural Language Processing

Image Analysis

Artificial Intelligence

Performance Metric

Program Evaluation

Generative AI

Applied Machine Learning

Large Language Modeling

Quality Assessment

User Feedback

Human Factors

Google Cloud Platform

There is 1 module in this course

This course is ideal for AI Product Managers looking to optimize LLM applications, Data Scientists interested in advanced AI model evaluation techniques, AI Ethicists and Policy Makers focused on responsible AI deployment, and Academic Researchers studying the impact of generative AI across various domains. A basic understanding of artificial intelligence, machine learning concepts, and familiarity with natural language processing (NLP) is recommended. Prior experience with Google Cloud Vertex AI is beneficial but not required. It covers practical applications, integrating human judgment with automatic methods, and prepares learners for future trends in AI evaluation across various media, including text, images, and audio. This comprehensive approach ensures you are equipped to assess LLMs effectively, enhancing business strategies and innovation.