Fine Tuning

Created: by Pradeep Gowda Updated: Apr 05, 2024 Tagged: llm

Why fine tune?

  • Greater Accuracy – By tailoring the model to specific use cases and industries, it can better understand and generate contextually relevant responses.
  • Improve Efficiency – Fine-tuning streamlines performance by reducing token usage and condensing the effectiveness of a larger model into a smaller, more efficient one.