Google Cloud · Generative AI Leader
Gen AI core concepts
Generative AI Leader · Lesson 1 of 14 · 3:29
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In this lesson
Prepare for the Google Cloud Generative AI Leader exam. In this lesson: how AI, machine learning, deep learning, and generative AI relate, natural language processing, foundation models, large language models, multimodal and diffusion models, prompts, prompt engineering, prompt tuning, and fine-tuning, supervised, unsupervised, and reinforcement learning, and the four things gen AI can do for a business: create, summarize, discover, and automate. Includes three original practice questions.
Preview the topics
- Cymbal Retail wants a model that looks at a photo of each new product, and writes its description for the online shop. Which kind of model fits best?
- Cymbal Retail has three years of past orders, each marked as returned or kept, and wants to predict which new orders will come back. Which approach fits?
- Cymbal Retail’s support managers receive long threads of customer complaints, and want each one reduced to three key points. Which gen AI capability is this?