Using the data we prepared for Dilekce and E-mail Writing pattern improvement fine-tune the GPT model
Implementation Details
Prepare samples in JSONL format for Fine Tune operation as specified in the OpenAI API
The example prompt samples used for training should include system messages telling the system to improve user input and the improved writing pattern value that the model should give in return.
Save samples as JSONL and create a fine-tune job in OpenAI API for the gpt model.
Design and Tasks
Develop a script that converts the sentiment dataset that is in CSV format to the Fine Tune format given in the OpenAI API.
This format should include a system message to the model instructing it to improve the given text and the output the model should provide as an assistant message.
Start a Fine-tune job on the API with the training data.
Expected Output
Acceptance Criteria
The Fine-tuned model should result in improvement for giving suggestions.
Task Description
Using the data we prepared for Dilekce and E-mail Writing pattern improvement fine-tune the GPT model
Implementation Details
Prepare samples in JSONL format for Fine Tune operation as specified in the OpenAI API The example prompt samples used for training should include system messages telling the system to improve user input and the improved writing pattern value that the model should give in return. Save samples as JSONL and create a fine-tune job in OpenAI API for the gpt model.
Design and Tasks
Develop a script that converts the sentiment dataset that is in CSV format to the Fine Tune format given in the OpenAI API. This format should include a system message to the model instructing it to improve the given text and the output the model should provide as an assistant message. Start a Fine-tune job on the API with the training data.
Expected Output
Acceptance Criteria
The Fine-tuned model should result in improvement for giving suggestions.