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Exploring Model Landscape and Implementing Base Models
When navigating different models in the ML landscape, considering their support, licensing, MLOP infrastructure, and optimization toolkits is essential. While numerous new models are introduced regularly, focusing on selecting a base model with strong performance on similar data to the one you work with can streamline the fine-tuning process. It's recommended to refer to up-to-date leaderboards to identify the best-performing models for your specific use case before starting the fine-tuning process.