➡️ Generate an expanded synthetic dataset for fine-tuning.
➡️ Engrain specific knowledge in a large language model.
I introduce some tips and tricks around dataset creation and hyper parameter (batch size, learning rate, epochs to train for)… drop me a comment below with any questions.
Cheers, Ronan
Links:
➡️ Trelis Function-calling Models
➡️ One-click Fine-tuning & Inference Templates
➡️ Tip Jar