Category: Fine-tuning

How to fine tune an AI model

There are numerous ways to optimize model performance.  Retrieval Augmented Generation (RAG) and Prompt Engineering are 2 relevant strategies, but also consider fine-tuning a model.  Fine-tuning influences the model with additional examples that reflect specific requirements.  These examples adjust the pretrained internal weights so that it produces responses consistent with patterns in the training data. […]

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