Optimize Generative AI: Evaluate & Enhance Your Models

Enroll in this Free Udemy Course to master AI model evaluation techniques! Sign up now!

In this course, you will master advanced evaluation techniques for Large Language Models (LLMs) using tools like Automatic Metrics and AutoSxS. These evaluation methods are critical for optimizing AI models and ensuring their effectiveness in real-world applications. By taking this course, you will receive valuable knowledge and practical skills, including hands-on experience with Google Cloud’s Vertex AI to evaluate LLMs using powerful, industry-standard evaluation tools.

You will learn to use Automatic Metrics to assess model output quality for tasks like text generation, summarization, and question answering. Additionally, you will master AutoSxS to compare multiple models side by side, gaining deeper insights into model performance and selecting the best-suited models for your tasks. This course equips you with the techniques necessary to improve AI applications across various industries, such as healthcare, finance, and customer service, addressing fairness in AI decision-making.

Prepare for future AI trends by learning about evolving evaluation tools and services in the context of generative AI. By the end of this course, you will have the ability to effectively evaluate LLMs, make data-driven decisions to select the best models, ensure fairness in AI systems, and stay ahead of the trends in AI evaluation. Whether you’re an AI product manager, data scientist, or AI ethicist, this course provides the tools and knowledge to excel in evaluating and improving AI models for impactful real-world applications.

What you will learn:

  • Understand the Fundamentals of LLM Evaluation
  • Master Vertex AI Evaluation Tools
  • Apply Advanced Evaluation Methods

Course Content:

  • Sections: 5 sections
  • Lectures: 13 lectures
  • Duration: 1h 10m

Requirements:

  • Basic Understanding of AI and Machine Learning
  • No Programming Skills Required
  • Familiarity with Large Language Models
  • Familiarity with Cloud Platforms

Who is it for?

  • AI Product Managers
  • Data Scientists and AI Engineers
  • AI Ethicists and Policy Makers
  • Academic Researchers
  • AI Enthusiasts and Learners New to AI

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