This multi-part series takes a practical approach working backwards from customer use cases and what made them successful in building a robust GenAI application. Since the technology is so nascent, customers often get lost in the vast content available and lack direction on execution. This includes starting with as simple as not knowing how to choose a model for their use case all the way through deploying and monitoring a production ready model. In this part 1, Model Selection, we show you the best practice approach for arriving at the right model for a given use case.
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