The process of taking a pre-trained model (like a foundation model) and further training it on a specific dataset to adapt it for a particular task or domain effectively and quickly.
The benefits of fine-tuning include:
- Improves the performance of the model on the target task with less training data.
- Reduces the computational cost and time compared to training a model from scratch.
- Enables the transfer of knowledge from a general domain to a specific application.
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Choosing the right AI-powered software development platform for your enterprise digital transformation can be confusing, let’s meet so we can answer your most pressing questions!
