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GenAI and Model Selection

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

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Recently updated!

September 2024

Assessments

1 assignment

Taught in English

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There are 4 modules in this course

Welcome to GenAI and Model Selection! This course empowers professionals like you to harness the transformative potential of Generative AI (GenAI) in optimizing organizational strategies. Imagine leveraging advanced AI models to make informed decisions, streamline workflows, and drive innovation within your organization.

What's included

1 video1 reading

In this lesson, you will gain a comprehensive understanding of GenAI models, their importance, and practical benefits. The lesson will cover foundational concepts, discussing the advantages for various roles and how these models enhance decision-making and efficiency. It provides an overview of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers, detailing their features, similarities, and differences. Practical examples, such as AI-generated faces, AI-assisted driving, and advanced natural language processing, will illustrate real-world applications, equipping learners to make informed decisions about model selection in their projects.

What's included

3 videos

This lesson provides you with a comprehensive guide to evaluating and selecting GenAI models. It begins with a video on key performance metrics, data requirements, and computational resources needed for GenAI models. Reading material offers an in-depth guide on these evaluation criteria. The next video discusses criteria for model selection based on project goals and compares different models. Learners will participate in a hands-on session to practice selecting the most suitable model for specific needs.

What's included

2 videos2 readings

This final lesson equips you with essential knowledge and skills for selecting and integrating generative AI models into existing systems. Starting with a comparison of building custom models versus purchasing pre-built solutions, you will explore key decision factors. The focus will then shift to effective integration guidelines for ensuring seamless performance and future adaptability. The lesson wraps up with additional resources for continued learning in generative AI integration, preparing learners to drive innovation and operational excellence in diverse settings.

What's included

2 videos2 readings1 assignment

Instructor

antik patel
Coursera Instructor Network
3 Courses85 learners

Offered by

Recommended if you're interested in Data Analysis

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