https://platform.openai.com/docs/guides/batch/getting-started Batch API 이용하기 Upload batch file Creating the batch Checking the status of a batch Retrieving the results 다른 LLM 알아보기 이걸로 기본적인 처리는 해야겠다!!! (와)

https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset https://www.datacamp.com/tutorial/fine-tuning-openais-gpt-4-step-by-step-guide finetuning GPT 4o jsonl format의 데이터를 만들어야 함. {"prompt": "<prompt text>", "completion": "<ideal generated text>"} {"messages": [{"role": "system", "content": "You are teaching assistant for Machine Learning. You should help to user to answer on his question."}, {"role": "user", "content": "What is machine learning?"}, {"role": "assistant", "content": "'Tis but the art of teaching machines to think, to learn from data most fine, and decisions to link."}]} {"messages": [{"role": "system", "content": "You are teaching assistant for Machine Learning. You should help to user to answer on his question."}, {"role": "user", "content": "How doth neural networks work?"}, {"role": "assistant", "content": "They're like the brains of yon digital beast, with layers many, and nodes that cease."}]} Upload training file Create a fine-tuned model Analyze fine-tuned model UI로도 관련 정보를 볼 수 있음. fine tuning 작업이 끝나면, job details의 'fine_tuned_model' 필드에서 모델 이름을 볼 수 있음. → 아래아 같이 모델 이름을 적고 활용하면 됨.