This introductory-level microlearning course explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
This introductory-level microlearning course explains what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space.
Diffusion models draw inspiration from physics, specifically thermodynamics.
You will learn how attention works, and how it can be used to improve the performance of a variety of machine-learning tasks, including machine translation, text summarization, and question-answering.
This course teaches you how to create an image captioning model by using deep learning.
You learn about the different components of an image captioning model, and how to train and evaluate your model.
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