Evaluating Large Language Model Outputs: A Practical Guide
This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI's tools.
Overview
This course includes:
- 60 minutes of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
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. It emphasizes practical applications, and the integration of human judgment alongside automatic methods, and prepares learners for future trends in AI evaluation across various media including text, images, and audio. This comprehensive approach ensures learners are equipped to assess LLMs effectively, enhancing business strategies and innovation.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Understanding of LLM Evaluation Fundamentals
- Proficiency in Vertex AI Evaluation Tools
- Model Selection and Optimization Techniques
- Analysis of Future Evaluation Trends
- Integration of Human and Automatic Evaluation Methods
Prerequisites
- Basic Understanding of Machine Learning
- Familiarity with Generative AI Technologies
- Basic Concepts in NLP
- Experience with Cloud Computing Platforms
Who Should Attend
AI Product Managers who are looking to enhance product offerings with optimized LLM applications. Data Scientists interested in advanced methodologies for AI model evaluation. AI Ethicists and Policy Makers focused on the responsible deployment of AI technologies. Academic Researchers who are studying generative AI’s impact across different domains.
