How can I fine tune my chatGPT bot ?
Hi, Nicolas from Ideta’s Tech team here !
You can retrieve all the details about models fine tuning in this documentation:
https://ideta.notion.site/How-can-I-fine-tune-my-chatGPT-bot-4d86f090fc4f49398cff354620feccc4
After lots of research:
Collect relevant data: Collect and prepare a dataset that is relevant to the domain of your chatbot. This data should include conversations, questions, and answers that are related to the topics your bot will be handling.
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Preprocess the data: Preprocess the collected data by cleaning and formatting it. You can remove any irrelevant or duplicate data and convert the remaining text into a format suitable for training.
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Train the model: Use a pre-trained GPT model and fine-tune it on your dataset using techniques such as transfer learning. This will help the model learn from your specific dataset and adapt to your chatbot’s domain.
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Evaluate the model: Evaluate the performance of your fine-tuned model by testing it on a small set of data that was not used during training. You can use metrics such as perplexity, accuracy, and F1 score to evaluate the performance of your model.
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Iterate and improve: Based on the evaluation results, iterate and improve your fine-tuned model by adjusting hyperparameters, adding more training data, or using different techniques.
Thank you Nicolas for this link.