Generative AI and Model Selection

Aperçu

Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web APIs, hosted solutions, and local installations.

By the conclusion of this course, you will be proficient in:

• Describing the basic architecture of generative AI models
• Comparing different AI model deployment options
• Evaluating AI models using benchmarks and creating custom assessments
• Troubleshooting and enhancing model performance
• Deciding when to use in-context learning versus retrieval augmented generation

Engage in practical exercises to assess models using industry benchmarks and design custom evaluations for your unique needs.

Learn advanced techniques for troubleshooting and improving model performance.

What differentiates this course is its emphasis on real-world application, ensuring you gain the expertise to make knowledgeable decisions about AI model selection and optimization for your ventures. Whether you’re a novice to AI or seeking to deepen your knowledge, this course will empower you to utilize generative AI effectively.

University:

Southern New Hampshire University
Provider:

Coursera
Categories:

Artificial Intelligence Courses, Machine Learning Courses, Generative AI Courses, Model Deployment Courses, Retrieval Augmented Generation Courses, Model Selection Courses

Matières