Tromero Tailor Howto
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Tromero Tailor is an AI platform that allows users to easily create custom language models from OpenAI's API data, offering cost savings and enhanced data control.
View MoreHow to Use Tromero Tailor
Install Tromero Tailor: Install the Tromero Tailor library using pip: pip install tromero_tailor
Import Tromero: Import the TailorAI class from the tromero_tailor library: from tromero_tailor import TailorAI
Initialize the client: Initialize the TailorAI client with your OpenAI and Tromero API keys: client = TailorAI(api_key='your-openai-key', tromero_key='your-tromero-key')
Use the client to make API calls: Use the initialized client to make API calls to OpenAI. This will automatically record requests and responses for training data.
View training logs: Access the Tromero platform to view your recorded training logs and group them into datasets.
Create a fine-tuning job: In the Tromero platform, create a new fine-tuning job by selecting a base model (e.g. Llama 3) and your prepared dataset.
Start fine-tuning: Click to start the fine-tuning process on your selected base model using your dataset.
Deploy the model: Once fine-tuning is complete, deploy your custom model with a single click in the Tromero platform.
Tromero Tailor FAQs
Tromero Tailor is a service that allows you to train your own AI model in three steps, moving from using OpenAI's models to your own custom model. It aims to save costs and provide full data control compared to using GPT-4.
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