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Copyright, AI, and Provenance

O'Reilly Media

What is contained in the model is an enormous set of parameters based on all the content that has been ingested during training, that represents the probability that one word is likely to follow another. Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge.

AI 101
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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

The automated data processing and API calling also enables FM to deliver updated, tailored answers and perform actual tasks by using proprietary knowledge. You can potentially implement RAG with a customized model. Cost – The high computational power required to train and run large AI models like FMs can incur substantial costs.