Also known as: Fine Tuning
Training an existing model further on your own examples.
Further training an already pre-trained model using additional task-specific or domain-specific data.
💡 Sending an experienced doctor for specialised training in cardiology.
from openai import OpenAI
client = OpenAI()
job = client.fine_tuning.jobs.create(
training_file="file-abc123",
model="gpt-4o-mini",
)
print(job.id)It adapts a model to specialised tasks or behaviour when prompting and retrieval are insufficient.
Fine-tuning changes style and behavior, not live knowledge — use RAG for fresh, up-to-date facts.
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