I recently embarked on a project that involved fine-tuning a model using both the OpenAI platform and Azure OpenAI services. To my surprise, I encountered a significant discrepancy in the processing times between the two platforms.
On the OpenAI platform, the fine-tuning job was impressively swift, completing in just 20 minutes after submission. However, when I attempted to replicate the process on Azure OpenAI with identical training data, the job has markedly stretched beyond 12 hours and is yet to finish.
This disparity raises several questions and I’m curious to delve into the experiences of others. Have you utilized Azure OpenAI for model fine-tuning? If so, how do the completion times compare to those on the OpenAI platform for similar tasks? Moreover, are there specific configurations or best practices on Azure OpenAI that could optimize processing times?
I’d appreciate any insights, experiences, or advice on navigating these differences.