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Chore Deprecate legacy fine tunes API (#484)

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* chore: add deprecation message

* chore: use new fine tuning API in README example
This commit is contained in:
Simone Vellei
2023-08-31 12:14:39 +02:00
committed by GitHub
parent a2ca01bb6d
commit 25da859c18
2 changed files with 53 additions and 8 deletions
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21
README.md
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@@ -631,11 +631,16 @@ func main() {
client := openai.NewClient("your token")
ctx := context.Background()
// create a .jsonl file with your training data
// create a .jsonl file with your training data for conversational model
// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
// chat models are trained using the following file format:
// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]}
// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]}
// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "How far is the Moon from Earth?"}, {"role": "assistant", "content": "Around 384,400 kilometers. Give or take a few, like that really matters."}]}
// you can use openai cli tool to validate the data
// For more info - https://platform.openai.com/docs/guides/fine-tuning
@@ -648,29 +653,29 @@ func main() {
return
}
// create a fine tune job
// create a fine tuning job
// Streams events until the job is done (this often takes minutes, but can take hours if there are many jobs in the queue or your dataset is large)
// use below get method to know the status of your model
tune, err := client.CreateFineTune(ctx, openai.FineTuneRequest{
fineTuningJob, err := client.CreateFineTuningJob(ctx, openai.FineTuningJobRequest{
TrainingFile: file.ID,
Model: "ada", // babbage, curie, davinci, or a fine-tuned model created after 2022-04-21.
Model: "davinci-002", // gpt-3.5-turbo-0613, babbage-002.
})
if err != nil {
fmt.Printf("Creating new fine tune model error: %v\n", err)
return
}
getTune, err := client.GetFineTune(ctx, tune.ID)
fineTuningJob, err = client.RetrieveFineTuningJob(ctx, fineTuningJob.ID)
if err != nil {
fmt.Printf("Getting fine tune model error: %v\n", err)
return
}
fmt.Println(getTune.FineTunedModel)
fmt.Println(fineTuningJob.FineTunedModel)
// once the status of getTune is `succeeded`, you can use your fine tune model in Completion Request
// once the status of fineTuningJob is `succeeded`, you can use your fine tune model in Completion Request or Chat Completion Request
// resp, err := client.CreateCompletion(ctx, openai.CompletionRequest{
// Model: getTune.FineTunedModel,
// Model: fineTuningJob.FineTunedModel,
// Prompt: "your prompt",
// })
// if err != nil {