This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI's tools like Automatic Metrics and AutoSxS, and forecasting the evolution of generative AI evaluation.
Evaluating Large Language Model Outputs: A Practical Guide
Evaluating Large Language Model Outputs: A Practical Guide
Instructor: Reza Moradinezhad
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
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
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Recently updated!
July 2024
Assessments
1 assignment
Taught in English
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There is 1 module in this course
This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI's tools like Automatic Metrics and AutoSxS, and forecasting the evolution of generative AI evaluation.
What's included
13 videos4 readings1 assignment2 discussion prompts
Instructor
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Recommended if you're interested in Machine Learning
Google Cloud
DeepLearning.AI
Edureka
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