This talk explores the end-to-end process of pre-training generative AI models beyond language, covering model development, dataset preparation, metric definition, infrastructure selection, training, deployment, and monitoring. Through practical examples and key insights, attendees will learn effective strategies for building and scaling generative AI models in non-language domains.
In this session, you will learn more about:
- How to implement a successfull end-to-end process of pre-training GenAI models
- Strategies and paractical examples
- How to use them practically
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