This chapter discusses the process of deploying generative models and the benefits of trying to deploy models independently. It also highlights the availability of open access models on the hugging face website.
What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.
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