How many maximum datasets can I take to fine-tune the GPT-3 model in one go? | OpenAI | Page 1

high hill · 2024-04-04T13:53:14.253Z

Can you tell me how many max numbers of dataset is allowed in fine-tuning GPT-3 model?

Hi @high hill. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

Hmm, I don't know enough to give you a confident answer yet. The knowledge sources provided do not specify the maximum number of datasets that can be used to fine-tune the GPT-3 model in one go. However, they do mention that to fine-tune a model, you are required to provide at least 10 examples and typically see clear improvements from fine-tuning on 50 to 100 training examples with gpt-3.5-turbo source (https://platform.openai.com/docs/guides/fine-tuning).

For more specific information about the maximum number of datasets allowed for fine-tuning, I recommend referring to the OpenAI fine-tuning guide (https://platform.openai.com/docs/guides/fine-tuning).

#How many maximum datasets can I take to fine-tune the GPT-3 model in one go?

For more specific information about the maximum number of datasets allowed for fine-tuning, I recommend referring to the OpenAI fine-tuning guide (https://platform.openai.com/docs/guides/fine-tuning).

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: