Reveal three key problems with large language models.
Explain how fine-tuning and distillation can improve a model’s predictions and efficiency.”
Google recommends first taking six other courses before starting the LLM module, so as to gain an understanding of the fundamentals. The six recommended courses look very interesting:
Introduction to Machine Learning
Linear regression
Working with categorical data
Datasets, generalization, and overfitting
Neural networks
Embeddings
The courses for linear regression, neural networks and embeddings can arguably be called essential for SEOs because these technologies have been a major part of how search ranking algorithms work. Obtaining a basic understanding about these technologies will improve your ability to understand how the backend of search engines work.
Many misleading ideas are popular in the SEO community because they sound like common sense, much like some answers you may have experienced from generative AI make sense but are hallucinations. Learning what these technologies are and how they work will help you become a better search marketer.
Read Google’s announcement:
Our Machine Learning Crash Course goes in depth on generative AI
See also: LinkedIn Launches Free AI Certification Courses
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