Hey everyone,
I’ve been tinkering with ChatGPT and want to train it using my own data to make it more relevant for my needs. Does anyone have experience with this? Any pointers on the best way to approach it, or things to watch out for?
I trained a GPT model using domain specific data for my project. One difficulty was preserving the model’s general knowledge while making it more specialized. I recommend balancing the fine tuning with your data while keeping the model’s broader understanding intact and be mindful of any biases that may arise from your dataset.
I have tried fine tuning GPT models with custom datasets, and it is evident that having a large and well organized dataset is essential. This helps the model learn effectively while avoiding overfitting.