AWS · AIF-C01
How generative AI works
AIF-C01 · Lesson 5 of 17 · 37:35
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In this lesson
Prepare for the AIF-C01 exam (AWS Certified AI Practitioner). In this lesson: tokens, chunking, embeddings, and vectors, transformers, large language models, foundation models, multimodal models, and diffusion models, the main generative AI use cases, and the foundation model lifecycle, from data selection and pre-training to fine-tuning, evaluation, deployment, and feedback. Includes three original practice questions.
Preview the topics
- AnyCompany wants its claim search to find vehicle collision claims when an agent types car accident, with no word in common. Which concept makes this possible?
- AnyCompany wants adjusters to get a five-line overview of each forty-page claim file. Which generative AI use case is this?
- Which stage of a foundation model’s lifecycle uses massive amounts of unlabeled data, and costs by far the most?