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I want to train GPT-3 with my company's data to perform specific NLP tasks using OpenAI's API. How can I train the GPT-3 model with my own data? What kind of data preprocessing do I need to perform before training the model? Are there any Python libraries or frameworks that can help me with the data preprocessing and training process? Can I use OpenAI's API to fine-tune the model for my specific NLP tasks, or do I need to train the model separately? What are the best practices for training GPT-3 with custom data using OpenAI's API?

I have researched the OpenAI API and have read the documentation on how to train GPT-3 with custom data. However, I am still unsure about the specific steps required to train GPT-3 with my company's data using OpenAI's API. I am expecting to learn more about the data preprocessing steps and Python libraries or frameworks that can assist with the training process. Additionally, I would like to know whether I can use OpenAI's API to fine-tune the model for my specific NLP tasks or whether I need to train the model separately. I am looking for best practices and recommendations for training GPT-3 with custom data using OpenAI's API.

jazz
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  • Your question is overly general. Please consider posting with a specific example that can be reproduced so that you are asking a single question that can be addressed from a software code perspective. – busse Apr 15 '23 at 18:34
  • https://towardsdatascience.com/unleashing-the-power-of-gpt-how-to-fine-tune-your-model-da35c90766c4 ? – Franck Dernoncourt Apr 17 '23 at 00:43

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I found this repo from Microsoft team that combines Azure OpenAI and Azure Cognitive Search most related to my question: azure-search-openai-demo

However, due to lack of skills, I still find it difficult to utilize it.

Wonder if anyone did this lab could share their experiences. Thanks!

jazz
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