- 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.
Notes
some good experience shared here: https://x.com/MaximeRivest/status/1895315348544483633 in response to https://x.com/simonw/status/1895301139819860202