get -i <YOUR_FINE_TUNE_JOB_ID> # Cancel a job openai api fine_tunes.cancel -i <YOUR_FINE_TUNE_JOB_ID> 使用微调模型 作业成功后,fine_tuned_model 字段将填充模型名称。你现在可以将此模型指定为我们的 Completions API 的参数,使用 [Playground](https:// platform.openai.com/playground)对其进行请...
openai.FineTune.list() 查看某个Fine-tuning任务的详细信息:openai.FineTune.retrieve(id="【任务id】") 查看详细信息时,其中包含的message会显示本次微调的计费信息:Fine-tune costs $x.xx,以及微调任务对应的结果模型id:Uploaded model: curie:ft-personal-2023-05-31-07-17-56...
API_SECRET_KEY = "你的智增增获取的api_key";BASE_URL = "http://flag.smarttrot.com/index.php/api/v1"; #智增增的base_url# jobsdef jobs(file_id): openai.api_key = API_SECRET_KEY openai.api_base = BASE_URL resp = openai.FineTuningJob.create(training_file=file_id, model...
不管你是不是開發者,學會怎麼使用 OpenAI Finetune API 對你都有幫助。實作步驟 Step1. Get Data Step2. Preprocess Data Step3. Create fine-tune model Step4. Check finetune status Step5. Use fine-tuned model 實作步驟我為大家整理了簡單 5 步驟:Step1. Get Data...
图片来自OpenAI 论文：Training language models to follow instructions with human feedback 在ChatGPT的训练中，OpenAI使用了一种称为通过人类反馈的强化学习（Reinforcement Learning from Human Feedback, RLHF）的方法。RLHF流程通常包括以下几个步骤：1.初始模型生成：使用监督学习训练初始语言模型（Step1的...
Today, we're really excited to preview our latest advancement in our model customization program. 今天,我们非常高兴地预览我们模型定制程序的最新进展。 It'll let users fine-tune O1 on their own datasets. 它将允许用户在自己的数据集上对 O1 进行微调。 Again, this isn't standard fine-tuning, thi...
OPENAI_API_KEYfile=openai.File.create(file=open("mydata.jsonl","rb"),purpose='fine-tune')...
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Learn how to fine-tune a foundation model from the model catalog in Azure Machine Learning. Documentation Customize a model with Azure OpenAI Service - Azure OpenAI Learn how to create your own customized model with Azure OpenAI Service by using Python, the REST APIs, or Azure OpenAI Studi...
openai api fine_tunes.follow -i <YOUR_FINE_TUNE_JOB_ID> 作业完成后,它应显示微调模型的名称。 除了创建微调作业之外,您还可以列出现有作业、检索作业状态或取消作业。 # List all created fine-tunesopenai api fine_tunes.list# Retrieve the state of a fine-tune. The resulting object includes# job ...