Learn about the landscape of models and how to find them using the popular repository Hugging Face. Discover the importance of filtering models based on tasks, licenses, and languages, and explore trending models in domains like object detection, automatic speech recognition, and text generation.
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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