"Foundation" models
Practical AI
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Understanding Foundation Models
This chapter provides an in-depth exploration of foundation models, including their definitions, training methodologies, and the distinctions between various learning types. It addresses the challenges and ethical implications of using these models, particularly concerning biases and accessibility in AI applications. The discussion emphasizes the need for thoughtful engagement with foundational models to ensure equitable representation and mitigate potential risks within technology and society.
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